tag:blogger.com,1999:blog-58365807670285466182012-02-01T13:35:53.296-08:00Fastest Homework HELP !!Serving since 2008regular555@gmail.comnoreply@blogger.comBlogger9971100tag:blogger.com,1999:blog-5836580767028546618.post-70192424871430201402012-01-31T13:21:00.000-08:002012-01-31T13:21:15.648-08:00Accounting chapter 6 and 7 quiz - MCQ03MCQ<br /><br />1. If goods in transit are shipped FOB destination<br /><br />a. the transportation company has legal title to the goods while the goods are in transit<br />b. the buyer has legal title to the goods until they are delivered<br />c. the seller has legal title to the goods until they are delivered<br />d. no one has legal title to the goods until they are delivered.<br /><br />2. An auto manufacturer would classify vehicles in various stages of production as<br /><br />a. merchandise inventory <br />b. finished goods<br />c. work in process<br />d. raw materials<br /><br />3. Cost of goods sold is computed from the following equation<br /><br />a. beginning inventory – cost of goods purchased + ending inventory<br />b. sales + gross profit – ending inventory + beginning inventory<br />c. beginning inventory + cost of goods purchased – ending inventory<br />d. sales – cost of goods purchased + beginning inventory – ending inventory<br /><br />4. The cost of goods available for sale is allocated between<br /><br />a. beginning inventory and cost of goods on hand<br />b. ending inventory and cost of goods sold<br />c. beginning inventory and cost of goods purchased<br />d. beginning inventory and ending inventory<br /><br />5. Which one of the following inventory method is often impractical to use?<br /><br />a. LIFO<br />b. FIFO<br />c. Average cost<br />d. Specific identification<br /><br />6. Companies adopt different cost flow methods for each of the following reasons except<br /><br />a. income statement effects<br />b. balance sheet effects<br />c. cash flow effects<br />d. cash flow effects tax effects<br /><br />7. In periods of rising prices, inventory method which results in the inventory value on the balance sheet that is closest to current cost is the<br /><br />a. tax method<br />b. FIFO method<br />c. Average - cost method<br />d. LIFO method<br /><br />8. The managers of Teng Company receive performance bonuses based on the net income of the firm. Which inventory costing method are they likely to favor in perods of declining prices?<br /><br />a. physical inventory method <br />b. LIFO<br />c. Average cost<br />d. FIFO<br /><br />9.The consistent application of an inventory costing method is essential for<br /><br />a. accuracy<br />b. conservatism<br />c. comparability<br />d. efficiency<br /><br />10. Inventory is reported in the financial statements at<br /><br />a. market<br />b. the higher-of-cost-or-market<br />c. the lower-of-cost-or-market<br />d. cost<br /><br />11. Isaac Company&nbsp;&nbsp; developed the following information about its inventories in applying the lower-of-cost-or-market ( LCM ) basis in valuing inventories<br /><br />&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Product&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Cost&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Market<br /><br />&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; A&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; $ 110,000&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; $ 120,000<br />&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <br />&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; B&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; $ 80,000&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; $ 76,000<br /><br />&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; C&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; $ 160,000&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; $ 162,000<br />If Isaac applies the LCM basis, the value of the inventory reported on the balance sheet would be <br /><br />a. $ 342,000<br />b. $ 346,000<br />c. $ 350,000<br />d. $ 362,000<br /><br />12. Understanding beginning inventory will understate<br /><br />a. owner’s equity<br />b. assets<br />c. cost of goods sold <br />d. net income<br /><br />13. Disclosures about inventory should include each of the following except the <br /><br />a. major inventory classification<br />b. quantity of inventory<br />c. costing method<br />d. basis of accounting<br /><br />14. In a period of rising prices, FIFO will have<br /><br />a. lower net income than LIFO<br />b. lower cost of goods sold than LIFO<br />c. lower income tax expense than LIFO<br />d. lower net purchases than LIFO<br /><br />15. Euler Company made an inventory count on December 31, 2008. During the count, one of the clerks made the error of counting an inventory item twice. For the balance sheet at December 31, 2008, the effects of this error are<br /><br />&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Assets&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Liabilities&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Equity<br /><br />&nbsp;a.&nbsp;&nbsp;&nbsp; overstated&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; understated&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; overstated<br />&nbsp;b.&nbsp;&nbsp;&nbsp; understated&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; no effect&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; understated<br />&nbsp;c.&nbsp;&nbsp;&nbsp; overstated&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; no effect&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; overstated<br />&nbsp;d.&nbsp;&nbsp;&nbsp; overstated&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; overstated&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; understated&nbsp; <br /><br /><br />16. “Generally accepted” in the phrase generally accepted accounting principles means that the principles<br /><br />a. have been approved for use by the managements of business firms<br />b. have substantial authoritative support<br />c. are proven theories of accounting<br />d. have been approved by the Internal Revenue Service<br /><br />17. The FASB concluded that the first level in developing the conceptual framework was to determine the <br /><br />a. objective financial reporting<br />b. qualitative characteristics of accounting information<br />c. operating guidelines<br />d. elements of financial statements<br /><br />18. Qualitative characteristics include all of the following except<br /><br />a. relevance<br />b. reliability<br />c. profitability<br />d. comparability<br /><br />19. An objective of financial reporting is to provide information that is mainly useful to<br /><br />a. internal and external auditors<br />b. investors and creditors<br />c. governmental taxing bodies<br />d. employees and labor unions<br /><br />20. An overriding criterion in evaluating the accounting information to be presented is<br /><br />a. fairness&nbsp; <br />b. management’s goal<br />c. decision usefulness<br />d. legality<br /><br />21. Which one of the following is not a qualitative characteristic of useful accounting information?<br /><br />a. comparability <br />b. relevance<br />c. reliability<br />d. conservatism<br /><br />22. Accounting information should be neutral in order to enhance <br /><br />a. Reliability<br />b. Feedback value<br />c. Relevancy<br />d. Predictive value<br /><br />23. Qualitative characteristics associated with relevant accounting information are<br /><br />a. consistency, faithful representation, and timeliness<br />b. going concern, cost principle, and materiality<br />c. predictive value, feedback value, and timeliness<br />d. neutrality, predictive value, reliability<br /><br />24. The economic entity assumption states that<br /><br />a. economic events can be identified with a particular entity<br />b. the accounting period should not exceed one year<br />c. it is assumed that the business will operate indefinitely<br />d. the economic life of a business can be divided into artificial time periods<br /><br />25. The going concern principle may be inapplicable when<br /><br />a. liquidation is assumed<br />b. fair market values are higher than costs<br />c. net realizable values can not be obtained<br />d. the business is just started-up<br /><br />26. The revenue recognition principle <br /><br />a. states that revenue should be recognized in the period when received<br />b. states that expense recognition is tied to revenue recognition<br />c. requires that revenue be recognized in the accounting period when it is earned<br />d. requires that events which make a difference to financial statement user be disclosed<br /><br />27. Cost become expenses<br /><br />a. when they are charged against revenues<br />b. at the end of the accounting period<br />c. when they are purchased<br />d. when they are paid<br /><br />28. The information provided in the notes that accompany financial statements is required because of the <br /><br />a. full disclosure principle<br />b. matching principle<br />c. cost principle<br />d. revenue recognition principle<br /><br />29. Which of the following is a constraint in applying generally accepted accounting principles?<br /><br />a. conservatism<br />b. cost<br />c. consistency<br />d. time period<br /><br />30. Return on common stockholder’s equity is<br /><br />a. net income divided by common equity<br />b. net income divided by total assets<br />c. net income divided by the number of common shares outstanding<br />d. net income divided by total stockholder’s equity<br /><br /><br /><a href="https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&amp;hosted_button_id=R5EU8P63NJXGW"><span style="color: lime; font-size: large;"><b><u>Download all answers : click here</u></b></span></a>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; ($11.99)<br /><br /><br /><br />&nbsp;&nbsp;&nbsp;&nbsp;<div class="blogger-post-footer"><img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/5836580767028546618-7019242487143020140?l=guyswithlonghair.blogspot.com' alt='' /></div>regular555@gmail.comnoreply@blogger.comtag:blogger.com,1999:blog-5836580767028546618.post-22638088025586482782012-01-31T08:16:00.000-08:002012-01-31T08:16:56.028-08:00QNT561 FINAL EXAM ANSWERS<!--[if gte mso 9]><xml> <w:WordDocument> <w:View>Normal</w:View> <w:Zoom>0</w:Zoom> <w:PunctuationKerning/> <w:ValidateAgainstSchemas/> <w:SaveIfXMLInvalid>false</w:SaveIfXMLInvalid> <w:IgnoreMixedContent>false</w:IgnoreMixedContent> <w:AlwaysShowPlaceholderText>false</w:AlwaysShowPlaceholderText> <w:Compatibility> <w:BreakWrappedTables/> <w:SnapToGridInCell/> <w:WrapTextWithPunct/> <w:UseAsianBreakRules/> <w:DontGrowAutofit/> </w:Compatibility> <w:BrowserLevel>MicrosoftInternetExplorer4</w:BrowserLevel> </w:WordDocument> </xml><![endif]--><!--[if gte mso 9]><xml> <w:LatentStyles DefLockedState="false" LatentStyleCount="156"> </w:LatentStyles> </xml><![endif]--><!--[if gte mso 10]> <style> /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman"; mso-ansi-language:#0400; mso-fareast-language:#0400; mso-bidi-language:#0400;}</style> <![endif]--> <div class="MsoNormal"><br /></div><div class="MsoNormal">1. The expected value of the a probability distribution</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is the same as the random variable</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is another term for the mean</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is also called the variance</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Cannot be greater than 1</div><div class="MsoNormal"><br /></div><div class="MsoNormal">2. Which of the following is a correct statement about a probability?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It may range from 0 to 1</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It may assume negative values</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It may be greater than 1</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It cannot be reported to more than 1 decimal place</div><div class="MsoNormal"><br /></div><div class="MsoNormal">3. An experiment is a</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Collection of events</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Collection of outcomes</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Always greater than 1</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The act of taking a measurement or the observation of some activity</div><div class="MsoNormal"><br /></div><div class="MsoNormal">4. Which level of measurement is required for the median?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Nominal</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Ordinal</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Interval</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Ratio</div><div class="MsoNormal"><br /></div><div class="MsoNormal">5. Which level of measurement is required for the mode?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Nominal</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Ordinal</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Interval</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Ratio</div><div class="MsoNormal"><br /></div><div class="MsoNormal">6. In a set of observations, which measure of central tendency reports the value that occurs most often?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Mean</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Median</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Mode</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Geometric mean</div><div class="MsoNormal"><br /></div><div class="MsoNormal">7. The weighted mean is a special case of the</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Mean</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Median</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Mode</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Geometric mean</div><div class="MsoNormal"><br /></div><div class="MsoNormal">8. The relationship between the geometric mean and the arithmetic mean is</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>They will always be the same</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The geometric mean will always be larger</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The geometric mean will be equal to or less than the mean</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The mean will always be larger than the geometric mean</div><div class="MsoNormal"><br /></div><div class="MsoNormal">9. Suppose you compare the mean of raw data and the mean of the same raw data grouped into a frequency distribution. These two means will be</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Exactly equal</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The same as the median</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The same as the geometric mean</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Approximately equal</div><div class="MsoNormal"><br /></div><div class="MsoNormal">10. In a set of 10 observations the mean is 20 and the median is 15. There are 2 values that are 6, and all other values are different. What is the mode?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>15</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>20</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>6</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">11. Which of the measures of central tendency is the largest in a positively skewed distribution?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Mean</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Median</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Mode</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Cannot tell from the information given</div><div class="MsoNormal"><br /></div><div class="MsoNormal">12. Which of the following is not a measure of dispersion?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Range</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Variance</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Standard deviation</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above are measures of dispersion</div><div class="MsoNormal"><br /></div><div class="MsoNormal">13. A disadvantage of the range is</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Only two values are used in its calculation</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It is in different units than the mean</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It does not exist for some data sets</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">14. The mean deviation is</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Based on squared deviations from the mean</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Also called the variance</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Based on absolute values</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Always reported in squared units</div><div class="MsoNormal"><br /></div><div class="MsoNormal">15. The standard deviation is</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Based on squared deviations from the mean</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>In the same units as the mean</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Uses all the observations in its calculation</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">16. The variance is</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Found by dividing by N by the mean</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>In the same units as the original data</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Found by squaring the standard deviation</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">17. In a positively skewed distribution</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The mean, median, and mode are all equal</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The mean is larger than the median</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The median is larger than the mean</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The standard deviation must be larger than the mean or the median</div><div class="MsoNormal"><br /></div><div class="MsoNormal">18. Which of the following statements is <span style="mso-spacerun: yes;">&nbsp;</span>regarding the standard deviation?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It cannot assume a negative value</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>If it is zero, then all the data values are the same</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>t is in the same units as the mean</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All the above are all correct</div><div class="MsoNormal"><br /></div><div class="MsoNormal">19. A uniform distribution is defined by</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Its largest and smallest value</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Largest value</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Smallest value</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal">20. The normal approximation to the binomial is used when</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The sample size is at least 30</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Both np and n (1 - p) are at least 5</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The mean and the variance are the same</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The z value is greater than 0</div><div class="MsoNormal"><br /></div><div class="MsoNormal">21. A sample</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is a part of the population</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Has more than 30 observations</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is usually identified as N</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">22. Which of the following is not a reason for sampling?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The destructive nature of certain tests</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The physical impossibility of checking all the items in the population</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The adequacy of sample results</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above are reasons for sampling</div><div class="MsoNormal"><br /></div><div class="MsoNormal">23. Which of the following is not a method of probability sampling?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Random sampling</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Systematic sampling</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Stratified sampling</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above are methods of probability sampling</div><div class="MsoNormal"><br /></div><div class="MsoNormal">24. In a simple random sample</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Every kth item is selected to be in the sample</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Every item has a chance to be in the sample</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Every item has the same chance to be in the sample</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">25. Suppose a population consisted of 20 items. How many different sample of n = 3 are possible?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>6840</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>1140</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>20</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>120</div><div class="MsoNormal"><br /></div><div class="MsoNormal">26. The difference between the sample mean and the population mean is called the</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Population mean</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Population standard deviation</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Standard error of the mean</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Sampling error</div><div class="MsoNormal"><br /></div><div class="MsoNormal">27. The mean of the all the sample means and the population mean will</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Always be equal</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Always be normally distributed</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Characterized by the standard error of the mean</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal"><br /></div><div class="MsoNormal">28. We wish to develop a confidence interval for the population mean. The shape of the population is not known, but we have a sample of 40 observations. We decide to use the 92 percent level of confidence. The appropriate value of z is:</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>1.96</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>1.65</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>2.58</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>1.75</div><div class="MsoNormal"><br /></div><div class="MsoNormal">29. Which of the following statements is not a characteristic of the t distribution.</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It is a continuous distribution</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It has a mean of 0</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It is symmetrical</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Like z there is only one t distribution</div><div class="MsoNormal"><br /></div><div class="MsoNormal">30. We wish to develop a confidence interval for the population mean. The population follows the normal distribution and we have a sample of 10 observations. We decide to use the 90 percent level of confidence. The appropriate value of to represent the level of confidence is</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>z =1.65</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>z = 1.96</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>t = 1.833</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>t = 1.812</div><div class="MsoNormal"><br /></div><div class="MsoNormal">37. The fraction or ratio of a sample possessing a certain trait is called </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Population</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Mean</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Confidence interval</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Proportion</div><div class="MsoNormal"><br /></div><div class="MsoNormal">32. To develop a confidence interval for a proportion</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>We need to meet the binomial conditions</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The sample should be at least 100</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>p should be less than .05</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">33. The finite population correction factor is used when</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>n is more than 30</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>N is more than 1000</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>n is greater than 5</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>n/N is more than .05</div><div class="MsoNormal"><br /></div><div class="MsoNormal">34. We wish to estimate the population proportion. We want to be 95 percent confident of our results and we want the estimate to be with .01 of the population parameter. No estimate of the population proportion is available. What value should we use for p?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>1.96</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>.01</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>.50</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>We cannot complete the problem, we need more information.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">35. The null hypothesis</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is a statement about the value of the population parameter</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Will always contain the equal sign</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Cannot include values less than 0</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Both a and b are correct</div><div class="MsoNormal"><br /></div><div class="MsoNormal">36. The alternate hypothesis</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is accepted if the null hypothesis is rejected</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Will always contain the equal sign</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Tells the value of the sample mean</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">37. The level of significance</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is frequently .05 or .01</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Can be any value between 0 and 1.</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is the likelihood of rejecting the null hypothesis when it is .</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">38. A Type I error is</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The correct decision</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>A value determined from the test statistic</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Rejecting the null hypothesis when it is </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Accepting the null hypothesis when it is .</div><div class="MsoNormal"><br /></div><div class="MsoNormal">39. The critical value is</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Calculated from sample information</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Cannot be negative</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The point that divides the acceptance region from the rejection region</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>A value determined from the test statistic</div><div class="MsoNormal"><br /></div><div class="MsoNormal">40. In a one-tailed test</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The rejection region is in one of the tails</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The rejection region is split between the tails</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The p-value is always less than the significance level</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The p-value is always more than the significance level</div><div class="MsoNormal"><br /></div><div class="MsoNormal">41Which of the following is not a requirement for the two-sample test of means for independent samples when both samples contain less than 30 observations?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Normal populations</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Equal population standard deviations</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Equal sample sizes</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above are required.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">42To conduct a test of hypothesis for dependent samples we assume that</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The distribution of the difference between the paired observations follows the normal distribution</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Both samples are at least 30</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The samples are unrelated</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">43When conducting a test of hypothesis for the dependent samples</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>We should have at least 30 pairs.</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The significance level is more than .05.</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The p-value is more than .10.</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">44Which of the following is not necessary to determine a p-value?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Knowledge of whether the test is one-tailed or two-tailed</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The value of the test statistic</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The level of significance</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above are needed</div><div class="MsoNormal"><br /></div><div class="MsoNormal">45In a two-way ANOVA the second source of variation is due to</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Random error</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Blocks</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Total variation</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">46uppose we conduct an ANOVA test of four treatment means and reject the null hypothesis. Construction of a confidence interval for the difference between the first and second sample mean revealed the interval to be 10 plus or minus 12. We conclude</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>This pair of means differ</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>This pair of means does not differ</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Because we do not know the units involved, we cannot draw any conclusion</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Because we do not know the degrees of freedom, we cannot draw any conclusion</div><div class="MsoNormal"><br /></div><div class="MsoNormal">47Which of the following is not an assumption required for ANOVA?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The populations are normally distributed</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The populations have equal standard deviations</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The samples are independent.</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">48Which of the following is not a characteristic of the F distribution?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It is a discrete distribution</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>In cannot be negative</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It is based on two sets of degrees of freedom</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">47In a multiple regression equation there</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Are two or more independent variables</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is only one dependent variable</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is one intercept value</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">50A dummy variable or indicator variable</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>May assume only a value of 0 or 1</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is another term for the dependent variable</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is found by (Y - Y')</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is equal to Y'</div><div class="MsoNormal"><br /></div><div class="MsoNormal">51 In the ANOVA table the value of k is</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The number of independent variables</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The total number of observations</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The number of degrees of freedom</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The sum of squares total</div><div class="MsoNormal"><br /></div><div class="MsoNormal">52. Multicollinearity occurs when</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The residuals are correlated</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Time is involved in the analysis</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The independent variables are correlated</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The residuals are not constant for all Y' values</div><div class="MsoNormal"><br /></div><div class="MsoNormal">53. A correlation matrix</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Shows all simple coefficients of correlation</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Shows all possible net regression coefficients</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Shows the correlations that are positive</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Reports the multiple regression equation</div><div class="MsoNormal"><br /></div><div class="MsoNormal">54. To conduct a nonparametric test the</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Population must follow the normal distribution</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The standard deviation must be known</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It is not necessary to make any assumption about the shape of the population</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The data must be at least interval scale</div><div class="MsoNormal"><br /></div><div class="MsoNormal">55. In a goodness-of-fit test where the sample size is 200, there are 5 categories, and the significance level is .05. The critical value of X2 is</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>9.488</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>11.070</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>43.773</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">56. In a goodness-of-fit test</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All the cell frequencies must be the same</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>There must be at least 30 observations</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Forty percent of the cells must contain at least 10 observations</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">57. In a contingency table</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The number of rows must be the same as the number of columns</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>A variable is classified according to two criteria</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>There must be at least 10 observations in each cell</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">58. In a contingency table a sample of 400 people is classified by gender and hair color (4 groups: blond, brown, black, and red). How many degrees of freedom are there?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>3</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>8</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>399</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">59. To find the expected frequency in a contingency table</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Take the square root of the degrees of freedom</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Multiple the row total by the column total and divide the result by the grand total</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Use the total number of observations minus one</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of these</div><div class="MsoNormal"><br /></div><div class="MsoNormal">60. Suppose we select a sample of 100 observations and organize them into 6 categories. We wish to investigate whether the number of observations could be the same in each of the categories in the population. How many degrees of freedom are there?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>5</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>97</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>3</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of these</div><div class="MsoNormal"><br /></div><div class="MsoNormal">61. To conduct the sign test, we assume</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The population is normally distributed</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The scale of measurement is interval</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The samples are dependent</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>There are at least 20 observations in the sample</div><div class="MsoNormal"><br /></div><div class="MsoNormal"><br /></div><div class="MsoNormal">62. An index</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Shows a percent change from one period to another</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Must be larger than 100</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Can employ qualitative data</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Cannot assume negative values</div><div class="MsoNormal"><br /></div><div class="MsoNormal">63<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The role of statistics is business research is to capture a population’s characteristics by using inferential statistics from a sample’s characteristics – </div><div class="MsoNormal"><br /></div><div class="MsoNormal"><br /></div><div class="MsoNormal">64. To conduct a one sample test of means and use the z distribution as the test statistic</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>We need to know the population mean</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>We can use the sample standard deviation provided np is at least 30</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>We need np to be at least 5</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Both a and b are correct</div><div class="MsoNormal"><br /></div><div class="MsoNormal">65. A p-value is</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The same as the population proportion</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The same as the significance level</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The fraction of the population that has a particular characteristic</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The probability of finding a value of the test statistic this extreme when the null hypothesis is </div><div class="MsoNormal"><br /></div><div class="MsoNormal">66. A Type II error occurs when</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>We accept a <span style="mso-spacerun: yes;">&nbsp;</span>null hypothesis</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>We reject a <span style="mso-spacerun: yes;">&nbsp;</span>alternate hypothesis</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>We reject a <span style="mso-spacerun: yes;">&nbsp;</span>null hypothesis</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">67. Which of the following statements are correct when deciding whether to use the z or the t distribution?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Use z when the sample size is 30 or more</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Use z when we have a normal population and we know the standard deviation</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Use t when the population is normal, the population standard deviation is not known, and n is less than 30</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above statements are correct</div><div class="MsoNormal"><br /></div><div class="MsoNormal">68. In a two-sample test of means for independent samples, the equal sign always appears in</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The null hypothesis</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The alternate hypothesis</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The upper tail of the test statistic</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">69. In a two-sample test of means for independent samples, we use the z distribution when</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The population standard deviations are equal</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Both populations are positively skewed</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Both samples are at least 30</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>n and n(1-) are both greater than 5</div><div class="MsoNormal"><br /></div><div class="MsoNormal">70. Which of the following is a requirement for a two-sample test of proportions</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The population standard deviations are equal.</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Both populations are positively skewed</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Both samples are at least 30.</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>n and n(1-) are both greater than 5</div><div class="MsoNormal"><br /></div><div class="MsoNormal">71 Which of the following measures of central location is affected most by extreme values? </div><div class="MsoNormal">A. Mean</div><div class="MsoNormal">B. Median</div><div class="MsoNormal">C. Geometric mean<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></div><div class="MsoNormal">D. Mode<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span> </div><div class="MsoNormal"><br /></div><div class="MsoNormal">72 Which level of measurement is required for the mode? </div><div class="MsoNormal">A.Ordinal</div><div class="MsoNormal">B.Nominal </div><div class="MsoNormal">C.Ratio<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal">D.Interval<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span> </div><div class="MsoNormal"><br /></div><div class="MsoNormal">73 A difference between calculating the sample mean and the population mean is: </div><div class="MsoNormal">A.We divide the sum of the observations by n - 1 instead of n<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal">B.Only in the symbols, we use instead of µ and n instead of N.<span style="mso-tab-count: 1;">&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal">C.There are no differences.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal">D.The observations are ranked and select the middle value for the <span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>population mean.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span> </div><div class="MsoNormal"><br /></div><div class="MsoNormal">74 In which of the following distributions is the probability of a success usually small? </div><div class="MsoNormal">A. Poisson<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal">B. Binomial<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal">C. All distribution<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal">D. Hypergeometric<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span> </div><div class="MsoNormal">75 The difference between a random variable and a probability distribution is: </div><div class="MsoNormal">A.A random variable does not include the probability of an event.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal">B.A random variable can only assume whole numbers.<span style="mso-tab-count: 1;">&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal">C.A probability distribution can only assume whole numbers.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal">D.None of the above.<span style="mso-tab-count: 1;">&nbsp;&nbsp; </span> </div><div class="MsoNormal">76 The mean and the variance are equal in </div><div class="MsoNormal">A.The hypergeometric distribution.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>B.The binomial distribution.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>C.All probability distributions.<span style="mso-tab-count: 1;">&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>D. The Poisson distribution.</div><div class="MsoNormal"><span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;</span></div><div class="MsoNormal">77 In a simple random sample </div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>A. Every Kth item is selected to be in the sample.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>B. Every item has a chance to be in the sample.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>C. Every item has the same chance to be in the sample.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>D. All of these<span style="mso-tab-count: 1;"> </span> </div><div class="MsoNormal"><br /></div><div class="MsoNormal">78 A sample </div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>A. Is part of the population.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>B. Has more than 30 observations.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>C. Is usually identified as N.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>D. All of these<span style="mso-tab-count: 1;"> </span> </div><div class="MsoNormal"><br /></div><div class="MsoNormal">79 The difference between the sample mean and the population mean is called the </div><div class="MsoNormal"><br /></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>A. Sampling error.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>B. Population standard deviation.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>C. Population mean.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>D. Standard error of the mean.<span style="mso-tab-count: 1;"> </span> </div><div class="MsoNormal">80 We wish to develop a confidence interval for the population mean. The shape of the population is not known, but we have a sample of 40 observations. We decide to use the 92% level of confidence. The appropriate value of z is: </div><div class="MsoNormal"><br /></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>A. 1.75<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>B. 1.65<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>C. 1.96<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>D. 2.58<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span> </div><div class="MsoNormal"><br /></div><div class="MsoNormal">81 We wish to develop a confidence interval for the population mean. The population follows the normal distribution, the standard deviation of the population is 3, and we have a sample of 10 observations. We decide to use the 90% level of confidence. The appropriate value of to represent the level of confidence is </div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>A. t=1.812<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>B. z=1.96<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>C. z =1.65<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>D. t=1.833<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span> </div><div class="MsoNormal"><br /></div><div class="MsoNormal">82 A point estimate is </div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>A. Always an estimate of the population mean.<span style="mso-tab-count: 1;"> </span> <span style="mso-spacerun: yes;">&nbsp;&nbsp;</span></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>B. Always equal to the population value.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>C. An estimate of the population parameter.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>D. None of these<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span> </div><div class="MsoNormal"><br /></div><div class="MsoNormal">83 We use the General Rule of Multiplication to combine </div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>A. Events based on subjective probabilities<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>B. Mutually exclusive events.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>C. Events that are not independent.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>D. Events that total more than 1.00.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp; </span> </div><div class="MsoNormal">84. If the two samples are not independent, their population means can still be compared using the ____________ statistic. </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>. paired t </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>. Z </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>. F </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>. chi-square</div><div class="MsoNormal"><br /></div><div class="MsoNormal">85 Which of the following is/are an appropriate null hypothesis for a two-sided test of the difference between two population means? 1. H0: ?1 = ?2 2. H0: ?1 ? ?2 3. H0: ?1 – ?2 = 0 </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>. 1 </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>. 2 </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>. 3 </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>. both 1 and 3</div><div class="MsoNormal"><br /></div><div class="MsoNormal"><br /></div><div class="MsoNormal"><br /></div><div class="MsoNormal"><br /></div><div class="MsoNormal">86 An experiment is a: </div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>A.The act of taking a measurement or the observation of <span style="mso-tab-count: 3;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>some activity.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal">B.Collection of outcomes.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal">C.Collection of events<span style="mso-tab-count: 1;">&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal">D. Always greater than 1.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span> </div><div class="MsoNormal"><br /></div><div class="MsoNormal">87 Which of the following is a correct statement about a probability? </div><div class="MsoNormal">A. It cannot be reported to more than 1 decimal place.<span style="mso-tab-count: 1;">&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>B. It may assume negative values.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>C. It may range from 0 to 1.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal">D. It may be greater than 1.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span> </div><div class="MsoNormal"><br /></div><div class="MsoNormal">88 Which of the following statements is <span style="mso-spacerun: yes;">&nbsp;</span>regarding a population? </div><div class="MsoNormal">A. It must be a large number of values.<span style="mso-tab-count: 1;">&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal">B. It must refer to people.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal">C. It is a collection of individuals, objects, or measurements.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>D None of these<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span> </div><div class="MsoNormal"><br /></div><div class="MsoNormal">89 Which of the following statements is <span style="mso-spacerun: yes;">&nbsp;</span>regarding a sample? </div><div class="MsoNormal">A. It is a part of population.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal">B. It must contain at least five observations.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal">C. It refers to descriptive statistics<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal">D. All of these are correct<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span> </div><div class="MsoNormal"><br /></div><div class="MsoNormal">90 A discrete variable is </div><div class="MsoNormal">A. Cannot be negative.<span style="mso-tab-count: 1;"> </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal">B. Can assume only whole number values.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal">C. An example of a qualitative variable.<span style="mso-tab-count: 1;"> </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal">D. Can assume only certain clearly separated values<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span> </div><div class="MsoNormal"><br /></div><div class="MsoNormal">91 In a two-sample test of means for independent samples, the equal sign always appears in </div><div class="MsoNormal">A. The null hypothesis.<span style="mso-tab-count: 1;">&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal">B. The alternate hypothesis.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal">C. The upper tail of the test statistic.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal">D. None of these<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span> </div><div class="MsoNormal"><br /></div><div class="MsoNormal">92 In a two-sample test of means for independent samples, we use the z distribution when </div><div class="MsoNormal">A. nB and n(1-B) are both greater than 5.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal">B. Both populations have at least 4,000 observations.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal">C The population standard deviations are equal.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal">D. Both population standard deviations are known.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span> </div><div class="MsoNormal"><br /></div><div class="MsoNormal">93) A Type I error is </div><div class="MsoNormal"><br /></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>A. Accepting the null hypothesis when it is .<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>B. A value determined from the test statistic<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>C. The correct decision<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>D. Rejecting the null hypothesis when it is <span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;</span></div><div class="MsoNormal"><br /></div><div class="MsoNormal">94 To conduct a nonparametric test the. </div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>A. The data must be at least interval scale.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>B. The standard deviation must be known.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>C. Population must follow the normal distribution.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>D. It is not necessary to make any assumption about the shape of the population.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span> </div><div class="MsoNormal"><br /></div><div class="MsoNormal">95 In a contingency table a sample of 400 people is classified by gender and hair color (4 groups: blond, brown, black, and red). How many degrees of freedom are there? </div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>A. 3<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>B. 8<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>C. 399<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>D. None of these<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span> </div><div class="MsoNormal"><br /></div><div class="MsoNormal">96 In a contingency table </div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>A. The number of rows must be the same as the number of columns.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>B. A variable is classified according to two criteria.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>C. There must be at least 10 observations in each cell.<span style="mso-tab-count: 1;">&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>D. All of these<span style="mso-tab-count: 1;"> </span> </div><div class="MsoNormal"><br /></div><div class="MsoNormal">97 The multiple standard error of estimate is </div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>A. Is based on the (Y - Y)2.<span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>B. Is negative when one of the net regression coefficients is 0.<span style="mso-tab-count: 1;">&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal">C.Is found by taking the square root of SSR/SS total.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal">D.All of these<span style="mso-tab-count: 1;">&nbsp;&nbsp; </span> </div><div class="MsoNormal"><br /></div><div class="MsoNormal">98 In the ANOVA table the value of k is </div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>A.The sum of squares total.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>B.The total number of observations<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>C.The number of independent variables.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>D.The number of degrees of freedom.<span style="mso-tab-count: 1;">&nbsp; </span> </div><div class="MsoNormal"><br /></div><div class="MsoNormal">99 A dummy variable or indicator variable </div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>A. Is equal to Y<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal">B. Is another term for the dependent variable.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal">C. May assume only a value of 0 or 1.<span style="mso-tab-count: 1;">&nbsp; </span><span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal">D. Is found by (Y - Y).</div><div class="MsoNormal"><br /></div><div class="MsoNormal">100 Suppose we have a population that follows the normal distribution. Which of the following statements is correct regarding the distribution of sample means?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The population standard deviation is always unknown</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The distribution of samples means will follow the uniform distribution</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The distribution of the sample means will also follow the normal distribution</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above is correct</div><div class="MsoNormal"><br /></div><div class="MsoNormal">101 Suppose we have a population that does not follow the normal distribution. If we select sample of what size will the distribution approximate the normal distribution?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>2</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>5</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>20</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>30</div><div class="MsoNormal"><br /></div><div class="MsoNormal">102 The standard error of the mean is</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The standard deviation of the sampling distribution of sample means</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Always normally distributed</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Sometimes less than 0</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">103 A point estimate is</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Always an estimate of the population mean</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Always equal to the population value</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>An estimate of the population parameter</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">104 A confidence interval</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Always includes the population parameter</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Decreases in width as the sample size is increased</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Cannot include a value of 0</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">105 If we wished to decrease the width of a confidence interval, we would not do which of the following</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Increase the size of the sample</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Reduce the size of the population</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Decrease the level of confidence</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">106 Under which of the following conditions would the standard deviation assume of negative value</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>When all the data values were negative</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>When more than half of the data values were negative</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>If all the data values were the same</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The standard deviation cannot be negative</div><div class="MsoNormal"><br /></div><div class="MsoNormal">107 The difference between a histogram and a bar chart is:</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The midpoints are connected with a histogram but not with a bar chart</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The bars must be next to each other on a histogram and separated in a bar chart</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Cumulative frequencies are required in a bar chart</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">108 The appropriate alternative hypothesis for a lower tail test to determine if mean body weight of all the men who have joined a health club is less than 185 pounds would be </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>HA: μ ≥ 185 lb</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>HA: μ &lt; 185 lb</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>HA: μ = 185 lb</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>HA: μ ≠ 185 lb</div><div class="MsoNormal"><br /></div><div class="MsoNormal">109 The normal distribution is a</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Discrete distribution</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Continuous distribution</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Positively skewed distribution</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">110Which of the following are characteristics of the normal distribution?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It is a symmetric distribution</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It is bell-shaped</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It is asymptotic</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">111Which of the following are correct statements about a normal distribution?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It cannot assume negative numbers</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It is defined by its mean and standard deviation</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All normal distributions have a variance of at least 1</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above are correct</div><div class="MsoNormal"><br /></div><div class="MsoNormal">112 Which of the following statements is correct regarding the standard normal distribution</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It is also called the z distribution</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Any normal distribution can be converted to the standard normal distribution</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The mean is 0 and the standard deviation is 1</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above are correct</div><div class="MsoNormal"><br /></div><div class="MsoNormal">113 The area under a normal curve between 0 and -1.75 is</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>.0401</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>.9599</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>.4599</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">114 The continuity correction factor is used when</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The sample size is at least 5</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Both np and n (1 - p) are at least 30</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>A continuous distribution is used to approximate a discrete distribution</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The standard normal distribution is applied</div><div class="MsoNormal"><br /></div><div class="MsoNormal">115 The difference between the sample mean and the population mean is called the: </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Sampling error.</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Population standard deviation.</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Population mean. </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Sandard error of the mean.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">116 A confidence interval: </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Always includes the population parameter.</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Decreases in width as the sample size is increased</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Cannot include a value of 0 </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of these</div><div class="MsoNormal"><br /></div><div class="MsoNormal">117 The alternate hypothesis </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of these </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Will always contain the equal sign. </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is accepted if the null hypothesis is rejected</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Tells the value of the sample mean.</div><div class="MsoNormal"><br /></div><div class="MsoNormal"><br /></div><div class="MsoNormal">118 To conduct a nonparametric test the. </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The data must be at least interval scale. </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The standard deviation must be known. </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Population must follow the normal distribution. </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It is not necessary to make any assumption about the shape of the population</div><div class="MsoNormal"><br /></div><div class="MsoNormal">119<span style="mso-spacerun: yes;">&nbsp; </span>In the ANOVA table the value of k is </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The sum of squares total. </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The total number of observations </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The number of independent variables. </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The number of degrees of freedom.</div><div class="MsoNormal">120 The difference between a random variable and a probability distribution is</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>A random variable does not include the probability of an event</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>A random variable can only assume whole numbers</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>A probability distribution can only assume whole numbers</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">121. Which of the following is not a requirement of a binomial distribution?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>A constant probability of success</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Only two possible outcomes</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>A fixed number of trails</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Equally likely outcomes</div><div class="MsoNormal"><br /></div><div class="MsoNormal">122 The mean and the variance are equal in</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All probability distributions</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The binomial distribution</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The Poisson distribution</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The hypergeometric distribution</div><div class="MsoNormal"><br /></div><div class="MsoNormal">123. Bayes' Theorem</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is an example of subjective probability</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Can assume of value less than 0</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is used to revise a probability based on new or additional information</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is found by applying the complement rule</div><div class="MsoNormal"><br /></div><div class="MsoNormal">124. The difference between a permutation and a combination is</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>In a permutation order is important and in a combination it is not</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>In a permutation order is not important and in a combination it is important</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>A combination is based on the classical definition of probability</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>A permutation is based on the classical definition of probability</div><div class="MsoNormal"><br /></div><div class="MsoNormal">125. A difference between calculating the sample mean and the population mean is</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Only in the symbols, we use instead of µ and n instead of N</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>We divide the sum of the observations by n - 1 instead of n</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The observations are ranked and select the middle value for the population mean</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>There are no differences</div><div class="MsoNormal"><br /></div><div class="MsoNormal">126. Which of the following measures of central location is affected most by extreme values?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Median</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Mean</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Mode</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Geometric mean</div><div class="MsoNormal"><br /></div><div class="MsoNormal">127. In which of the following distributions is the probability of a success usually small?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Binomial</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Poisson</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Hypergeometric</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All distribution</div><div class="MsoNormal"><br /></div><div class="MsoNormal">128. Which of the following is not a requirement of a probability distribution?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Equally likely probability of a success</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Sum of the possible outcomes is 1.00</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The outcomes are mutually exclusive</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The probability of each outcome is between 0 and 1</div><div class="MsoNormal"><br /></div><div class="MsoNormal">129 For a binomial distribution</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>n must assume a number between 1 and 20 or 25</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>p must be a multiple of .10</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>There must be at least 3 possible outcomes</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>130. Events are independent if </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>By virtue of one event happening another cannot. </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The probability of their occurrence is greater than 1. </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>We can count the possible outcomes. </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The probability of one event happening does not affect the probability of another event happening. </div><div class="MsoNormal">E.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">131 . The Special Rule of Addition is used to combine </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Independent events. </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Mutually exclusive events </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Events that total more than one. </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Events based on subjective probabilities </div><div class="MsoNormal">E.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Found by using joint probabilities.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">132. We use the General Rule of Multiplication to combine </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Events that is not independent. </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Mutually exclusive events. </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Events that total more than 1.00. </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Events based on subjective probabilities </div><div class="MsoNormal">E.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Found by using joint probabilities.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">133 A nominal scale variable is </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Cannot have more than two categories. </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Has a meaningful zero point. </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Usually the result of counting something</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>May assume negative values.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">134. We wish to develop a confidence interval for the population mean. The shape of the population is not known, but we have a sample of 40 observations. We decide to use 92% level of confidence. The appropriate values of Z is:</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>1.65</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>1.96</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>2.58</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>1.75</div><div class="MsoNormal"><br /></div><div class="MsoNormal">135. Which of the following is a correct statement about a probability? </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It may range from 0 to 1. </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It may assume negative values. </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It may be greater than 1. </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It cannot be reported to more than 1 decimal place. </div><div class="MsoNormal">E.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All the above are correct.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">136. An experiment is a </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Collection of events.</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Collection of outcomes.</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Always greater than 1.</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The act of taking a measurement or the observation of some activity.</div><div class="MsoNormal">E.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above is correct.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">137. Which of the following is not a type of probability? </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Subjective</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Independent </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Relative frequency</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Classical</div><div class="MsoNormal"><br /></div><div class="MsoNormal">138. We use the General Rule of Multiplication to combine</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Mutually exclusive events </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Events that is not independent </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Events that total more than 1.00 </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Events based on subjective probabilities</div><div class="MsoNormal"><br /></div><div class="MsoNormal">139. Which of the following is not a type of probability? </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Independent </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Subjective </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Relative frequency</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Classical</div><div class="MsoNormal"><br /></div><div class="MsoNormal">140. Which of the following is a correct statement about probability? </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It may assume negative values</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It may range from 0 to 1</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It may be greater than 1</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It cannot be reported to more than 1 decimal place</div><div class="MsoNormal"><br /></div><div class="MsoNormal">141. The ratio scale of measurement </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is usually based on counting</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Usually involves ranking</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Has a meaningful zero point</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Cannot assume negative values</div><div class="MsoNormal"><br /></div><div class="MsoNormal">1421. Which of the following statements is <span style="mso-spacerun: yes;">&nbsp;</span>regarding a population? </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It must be a large number of values</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It must refer to people</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It is a collection of individuals, objects, or measurements</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Non of these</div><div class="MsoNormal"><br /></div><div class="MsoNormal">143. Which of the following statements is <span style="mso-spacerun: yes;">&nbsp;</span>regarding samples? </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It is a part of population </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It must contain at least five observations </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It refers to descriptive statistics </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of these are correct.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">144. A type I error is</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Accepting the null hypothesis when it is </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The correct decision </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Rejecting the null hypothesis when it is </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>A value determined from the test statistics</div><div class="MsoNormal"><br /></div><div class="MsoNormal">145. Which of the following is a requirement for a two-sample test of proportions?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>nB and n(1-B) are both greater than 5</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The population standard deviations are equal</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Both samples are at least 30</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Both populations are positively skewed</div><div class="MsoNormal"><br /></div><div class="MsoNormal">146. Which of the following is not a characteristic of the X2?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It approaches a normal distribution as the degree of freedom increases </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Its shape is based on the sample size</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It is positively skewed</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It is not negative</div><div class="MsoNormal"><br /></div><div class="MsoNormal">147. In a contingency table a sample of 400 people is classified by gender and hair color(4 groups: blond, brown, black and red). How many degrees of freedom are there? </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>3 </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>8</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>399 </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of these</div><div class="MsoNormal"><br /></div><div class="MsoNormal">148. In a goodness-of-fit test where the sample size is 200, there are 5 categories, and the significant level in .05. The critical value of X2 is.</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>9.488</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>11.070</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>43.733</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of these</div><div class="MsoNormal"><br /></div><div class="MsoNormal">149. A sample</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is part of the population</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Have more than 30 observations</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is usually identified as N</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of these</div><div class="MsoNormal"><br /></div><div class="MsoNormal">150. The difference between the sample mean and the population mean is called the: </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Population standard deviation</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Population mean </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Standard error of the mean</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Sampling error</div><div class="MsoNormal"><br /></div><div class="MsoNormal">151. Suppose a population consisted of 20 items, how many different sample of n=3 are possible?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>1140</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>6840</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>20</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>120</div><div class="MsoNormal"><br /></div><div class="MsoNormal">152. A confidence internal</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Always include the population parameter</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Decreases in width as the sample increases</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Cannot include a value of 0</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of these</div><div class="MsoNormal"><br /></div><div class="MsoNormal"><br /></div><div class="MsoNormal">153. When we find the probability of an event happening by subtracting the probability of the event not happening from 1, we are using </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Subjective probability </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The complement rule. </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The general rule of addition. </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The special rule of multiplication </div><div class="MsoNormal">E.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Joint probability</div><div class="MsoNormal"><br /></div><div class="MsoNormal">154. When we determine the number of combinations </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>We are really computing a probability. </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The order of the outcomes is not important. </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The order of the outcomes is important. </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>We multiple the likelihood of two independent trials. </div><div class="MsoNormal">E.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">155. Bayes' Theorem </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is an example of subjective probability </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Can assume of value less than 0. </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is used to revise a probability based on new or additional information. </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is found by applying the complement rule. </div><div class="MsoNormal">E.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">156. The difference between a permutation and a combination is: </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>In a permutation order is important and in a combination it is not. </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>In a permutation order is not important and in a combination it is important. </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>A combination is based on the classical definition of probability. </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>A permutation is based on the classical definition of probability. </div><div class="MsoNormal">E.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">157. Which of the following is not a measure of dispersion? </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Range </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Variance </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Standard deviation </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above are measures of dispersion</div><div class="MsoNormal"><br /></div><div class="MsoNormal">158. A disadvantage of the range is </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Only two values are used in its calculation. </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It is in different units than the mean. </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It does not exist for some data sets. </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above.</div><div class="MsoNormal"><br /></div><div class="MsoNormal"><br /></div><div class="MsoNormal">159. The mean deviation is </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Based on squared deviations from the mean. </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Also called the variance. </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Based on absolute values. </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Always reported in squared units.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">160. The standard deviation is </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Based on squared deviations from the mean. </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>In the same units as the mean. </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Uses all the observations in its calculation. </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">161. The variance is </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Found by dividing by N by the mean. </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>In the same units as the original data. </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Found by squaring the standard deviation. </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">162. In a positively skewed distribution </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The mean, median, and mode are all equal. </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The mean is larger than the median. </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The median is larger than the mean. </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The standard deviation must be larger than the mean or the median.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">163. The quartile deviation is </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The square root of the variance. </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Based on the middle 50 percent of the observations. </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>In squared units of the original data. </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Appropriate only for symmetric distributions.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">165. In a symmetric distribution </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The mean, median, and mode are equal. </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The mean is the largest measure of location. </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The median is the largest measure of location. </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The standard deviation is the largest value.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">166. A coefficient of skewness of -2.73 was computed for a set of data. We conclude that </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The mean is larger than the median. </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The median is larger than the mean. </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The standard deviation is a negative number. </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Something is wrong because the coefficient of skewness cannot be less than -1.00.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">167. Which of the following statements is <span style="mso-spacerun: yes;">&nbsp;</span>regarding the standard deviation? </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It cannot assume a negative value. </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>If it is zero, then all the data values are the same. </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It is in the same units as the mean. </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All the above are all correct.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">168. A difference between calculating the sample mean and the population mean is </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Only in the symbols, we use instead of ? and n instead of N. </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>We divide the sum of the observations by n - 1 instead of n. </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The observations are ranked and select the middle value for the population mean. </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>There are no differences.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">169. Which of the following measures of central tendency is affected most by extreme values? </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Median </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Mean </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Mode </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Geometric mean</div><div class="MsoNormal"><br /></div><div class="MsoNormal">170. Which level of measurement is required for the median? </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Nominal </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Ordinal </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Interval </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Ratio</div><div class="MsoNormal"><br /></div><div class="MsoNormal">171. Which level of measurement is required for the mode? </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Nominal </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Ordinal </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Interval </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Ratio</div><div class="MsoNormal"><br /></div><div class="MsoNormal">172. In a set of observations, which measure of central tendency reports the value that occurs most often? </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Mean </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Median </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Mode </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Geometric mean</div><div class="MsoNormal"><br /></div><div class="MsoNormal">173. The weighted mean is a special case of the </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Mean </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Median </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Mode </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Geometric mean</div><div class="MsoNormal"><br /></div><div class="MsoNormal">174. The relationship between the geometric mean and the arithmetic mean is </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>They will always be the same. </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The geometric mean will always be larger. </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The geometric mean will be equal to or less than the mean. </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The mean will always be larger than the geometric mean.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">175. Suppose you compare the mean of raw data and the mean of the same raw data grouped into a frequency distribution. These two means will be </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Exactly equal. </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The same as the median. </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The same as the geometric mean. </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Approximately equal.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">176. In a set of 10 observations the mean is 20 and the median is 15. There are 2 values that are 6, and all other values are different. What is the mode? </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>15 </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>20 </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>6 </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">177. Which of the measures of central tendency is the largest in a positively skewed distribution? </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Mean </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Median </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Mode </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Cannot tell from the information given.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">178. In a goodness-of-fit test where the sample size is 200, there are 5 categories, and the significance level is .05. The critical value of X2 is</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>9.488 </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>11.070 </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>43.773</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of these</div><div class="MsoNormal"><br /></div><div class="MsoNormal"><br /></div><div class="MsoNormal">179. The mean and the variance are equal in </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All probability distributions. </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>B. The binomial distribution. </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>C. The Poisson distribution. </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>D. The hypergeometric distribution.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">180. Which of the following is not a requirement of a binomial distribution? </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>A constant probability of success. </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>B. Only two possible outcomes. </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>C. A fixed number of trails. </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>D. Equally likely outcomes.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">181. In which of the following distributions is the probability of a success usually small? </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Binomial </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Poisson</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Hyper geometric</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All distribution</div><div class="MsoNormal"><br /></div><div class="MsoNormal">182. In a goodness-of-fit test where the sample size is 200, there are 5 categories, and the significance level is .05. The critical value of X2 is </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>9.488</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>11.070</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>43.773</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of these</div><div class="MsoNormal"><br /></div><div class="MsoNormal">183. In a contingency table </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The number of rows must be the same as the number of columns.</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>A variable is classified according to two criteria.</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>There must be at least 10 observations in each cell.</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of these</div><div class="MsoNormal"><br /></div><div class="MsoNormal">184. In a two-sample test of means for independent samples, we use the z distribution when </div><div class="MsoNormal">A. Both population standard deviations are known</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>nB and n(1-B) are both greater than 5</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The population standard deviations are equal</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Both populations have at least 4,000 observations.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">185. A discrete variable is</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Can assume only certain clearly separated values</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Cannot be negative</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>An example of a qualitative variable</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Can assume only whole number values.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">186. Which of the following statements is <span style="mso-spacerun: yes;">&nbsp;</span>regarding a sample? </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It is a part of population</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It must contain at least five observations</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It refers to descriptive statistics</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of these are correct</div><div class="MsoNormal"><br /></div><div class="MsoNormal">187. A point estimate is</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Always an estimate of the population mean</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span> Always equal to the population value</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>An estimate of the population parameter</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of these</div><div class="MsoNormal"><br /></div><div class="MsoNormal">188. Which of the following statements is not a characteristic of the t distribution?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It is symmetrical</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Like z there is only one t distribution</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It is a continuous distribution</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It has a mean of 0.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">189. A nominal scale variable is </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Cannot have more than two categories. </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>B. Has a meaningful zero point. </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>C. Usually the result of counting something </div><div class="MsoNormal">E.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>May assume negative values.</div><div class="MsoNormal">190: What area under the standard normal curve falls outside the Z values -1.96 and 1.96?</div><div class="MsoNormal">A. 0.05 </div><div class="MsoNormal">B. 0.01 </div><div class="MsoNormal">C. 0.90 </div><div class="MsoNormal">D. 0.10 </div><div class="MsoNormal"><br /></div><div class="MsoNormal">191 Which level of measurement is required for the median? </div><div class="MsoNormal">A. Nominal </div><div class="MsoNormal">B. Ordinal </div><div class="MsoNormal">C. Interval </div><div class="MsoNormal">D. Ratio </div><div class="MsoNormal"><br /></div><div class="MsoNormal">192 The weighted mean is a special case of the: </div><div class="MsoNormal">A. Mean </div><div class="MsoNormal">B. Median </div><div class="MsoNormal">C. Mode </div><div class="MsoNormal">D. Geometric mean </div><div class="MsoNormal"><br /></div><div class="MsoNormal">193 In a set of observations, which measure of central tendency reports the value that occurs most often?</div><div class="MsoNormal">A. Mean </div><div class="MsoNormal">B. Median </div><div class="MsoNormal">C. Mode </div><div class="MsoNormal">D. Geometric mean </div><div class="MsoNormal"><br /></div><div class="MsoNormal">194 The mean and the variance are equal in </div><div class="MsoNormal">A. All probability distributions. </div><div class="MsoNormal">B. The binomial distribution. </div><div class="MsoNormal">C. The Poisson distribution. </div><div class="MsoNormal">D. The hypergeometric distribution. </div><div class="MsoNormal"><br /></div><div class="MsoNormal">195 Which of the following is not a requirement of a binomial distribution? </div><div class="MsoNormal">A. A constant probability of success. </div><div class="MsoNormal">B. Only two possible outcomes. </div><div class="MsoNormal">C. A fixed number of trails. </div><div class="MsoNormal">D. Equally likely outcomes. </div><div class="MsoNormal"><br /></div><div class="MsoNormal">196 In which of the following distributions is the probability of a success usually small? </div><div class="MsoNormal">A. Binomial </div><div class="MsoNormal">B. Poisson </div><div class="MsoNormal">C. Hypergeometric </div><div class="MsoNormal">D. All distribution</div><div class="MsoNormal"><br /></div><div class="MsoNormal">197 A sample </div><div class="MsoNormal">A. Is part of the population. </div><div class="MsoNormal">B. Has more than 30 observations. </div><div class="MsoNormal">C. Is usually identified as N. </div><div class="MsoNormal">D. All of these </div><div class="MsoNormal"><br /></div><div class="MsoNormal">198 If each of a set of raw scores is transformed into a Z-score, the new distribution will have a standard deviation equal to</div><div class="MsoNormal">A. zero.</div><div class="MsoNormal">B. one.</div><div class="MsoNormal">C. the mean of the original distribution.</div><div class="MsoNormal">D. the standard deviation of the original distribution.</div><div class="MsoNormal"><br /></div><div class="MsoNormal"><br /></div><div class="MsoNormal">199 Which of the following random variables are continuous and which are discrete?</div><div class="MsoNormal">1. Score in a IQ Test</div><div class="MsoNormal">2. number of kittens in a litter</div><div class="MsoNormal">3C. number of cars crossing a Traffic Light in one hour</div><div class="MsoNormal">4. the number of rainy days in a month</div><div class="MsoNormal"><br /></div><div class="MsoNormal">A. 1, 2 continuous; 3, 4 discrete</div><div class="MsoNormal">B. 1, 3, 4 continuous; 2 discrete</div><div class="MsoNormal">C. 4 continuous; 1, 2, 3 discrete</div><div class="MsoNormal">D. 1 continuous; 2, 3, 4 discrete</div><div class="MsoNormal">200 A factor that is varied by an experimenter in order to assess its effect is known as a(n):</div><div class="MsoNormal">A. dependent variable</div><div class="MsoNormal">B. independent variable</div><div class="MsoNormal">C. control variable</div><div class="MsoNormal">D. none of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">201<span style="mso-spacerun: yes;">&nbsp; </span>For students' distribution, 90 percent of the area lies between t = -1.895 and t = 1.895 if the degrees of freedom are:</div><div class="MsoNormal">A. 6 </div><div class="MsoNormal">B. 3</div><div class="MsoNormal">C. 7</div><div class="MsoNormal">D. 8 </div><div class="MsoNormal"><br /></div><div class="MsoNormal">202 When (for what level of confidence) do we use Z = 1.645, for a two-sided test or confidence interval?</div><div class="MsoNormal">A. 90%</div><div class="MsoNormal">B. 95%</div><div class="MsoNormal">C. 80%</div><div class="MsoNormal">D. 100% </div><div class="MsoNormal"><br /></div><div class="MsoNormal">203 Which nonparametric test is analogous to a parametric two-sample t-test for means?</div><div class="MsoNormal">A. Wald-Wolfowitz test</div><div class="MsoNormal">B. Wilcoxon signed rank test</div><div class="MsoNormal">C. Mann-Whitney test</div><div class="MsoNormal">D. Kruskal-Wallis test</div><div class="MsoNormal"><br /></div><div class="MsoNormal">204 Which nonparametric test is analogous to a parametric t-test for differences in paired data?</div><div class="MsoNormal">A. Wald-Wolfowitz test</div><div class="MsoNormal">B. Wilcoxon signed rank test</div><div class="MsoNormal">C. Mann-Whitney test</div><div class="MsoNormal">D. Kruskal-Wallis test</div><div class="MsoNormal"><br /></div><div class="MsoNormal">205: Which nonparametric test is analogous to a one-factor ANOVA?</div><div class="MsoNormal">A. Wald-Wolfowitz test</div><div class="MsoNormal">B. Wilcoxon signed rank test</div><div class="MsoNormal">C. Mann-Whitney test</div><div class="MsoNormal">D. Kruskal-Wallis test</div><div class="MsoNormal"><br /></div><div class="MsoNormal"><br /></div><div class="MsoNormal"><br /></div><div class="MsoNormal">206 A linear regression between Y and X produced the following equation for the least squares line:</div><div class="MsoNormal">= -4.3 + 2.1x </div><div class="MsoNormal">Which of the following statements concerning this relationship is ?</div><div class="MsoNormal">A. For every one-unit increase in X, Y increases 4.3 units.</div><div class="MsoNormal">B. For every one-unit increase in X, Y decreases 2.1 units.</div><div class="MsoNormal">C. For every one-unit increase in X, Y decreases 4.3 units.</div><div class="MsoNormal">D. For every one-unit increase in X, Y increases 2.1 units.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">207 The difference between an observed value of the dependent variable and its predicted value obtained from the regression equation is called a(n) </div><div class="MsoNormal">A. extrapolation.</div><div class="MsoNormal">B. interpolation.</div><div class="MsoNormal">C. residual.</div><div class="MsoNormal">D. mean deviation.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">208 A regression line has been found and the statistician wants to know if the line has a slope. What is the appropriate null hypothesis to test?</div><div class="MsoNormal">A. H0: β1 = 0.</div><div class="MsoNormal">B. H0: β1 &gt; 0.</div><div class="MsoNormal">C. H0: β1 &lt; 0.</div><div class="MsoNormal">D. H0: β1 ≠ 0.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">209 The continuity correction factor is used when</div><div class="MsoNormal">A. The sample size is at least 5</div><div class="MsoNormal">B. Both nπ and n(1 - π) are at least 30.</div><div class="MsoNormal">C. A continuous distribution is used to approximate a discrete distribution</div><div class="MsoNormal">D. The standard normal distribution is applied</div><div class="MsoNormal"><br /></div><div class="MsoNormal">210 A uniform distribution is defined by</div><div class="MsoNormal">A. Its largest and smallest value</div><div class="MsoNormal">B. Largest value</div><div class="MsoNormal">C. Smallest value</div><div class="MsoNormal">D. None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">211 The normal approximation to the binomial is used when</div><div class="MsoNormal">A. The sample size is at least 30</div><div class="MsoNormal">B. Both nπ and n(1 - π) are at least 5</div><div class="MsoNormal">C. The mean and the variance are the same</div><div class="MsoNormal">D. The z value is greater than 0</div><div class="MsoNormal"><br /></div><div class="MsoNormal">212 In the standard normal distribution, what is the probability of finding a z value between -1.25 and -1.00?</div><div class="MsoNormal">A. 0.3944</div><div class="MsoNormal">B. 0.3413</div><div class="MsoNormal">C. 0.7357</div><div class="MsoNormal">D. 0.0531</div><div class="MsoNormal"><br /></div><div class="MsoNormal">213 The standard error of the mean is</div><div class="MsoNormal">A. The standard deviation of the sampling distribution of sample means</div><div class="MsoNormal">B. Always normally distributed</div><div class="MsoNormal">C. Sometimes less than 0</div><div class="MsoNormal">D. None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">214 Suppose we have a population that does not follow the normal distribution. If we select sample of what size will the distribution approximate the normal distribution?</div><div class="MsoNormal">A. 2</div><div class="MsoNormal">B. 5</div><div class="MsoNormal">C. 20</div><div class="MsoNormal">D. 30</div><div class="MsoNormal"><br /></div><div class="MsoNormal">215 The mean of the all the sample means and the population mean will</div><div class="MsoNormal">A. Always be equal</div><div class="MsoNormal">B. Always be normally distributed</div><div class="MsoNormal">C. Characterized by the standard error of the mean</div><div class="MsoNormal">D. None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">216 In a simple random sample </div><div class="MsoNormal">A. Every Kth item is selected to be in the sample. </div><div class="MsoNormal">B. Every item has a chance to be in the sample. </div><div class="MsoNormal">C. Every item has the same chance to be in the sample. </div><div class="MsoNormal">D. All of these </div><div class="MsoNormal"><br /></div><div class="MsoNormal">217 The difference between the sample mean and the population mean is called the </div><div class="MsoNormal">A. Standard error of the mean. </div><div class="MsoNormal">B. Sampling error. </div><div class="MsoNormal">C. Population mean. </div><div class="MsoNormal">D. Population standard deviation. </div><div class="MsoNormal"><br /></div><div class="MsoNormal">218 A point estimate is </div><div class="MsoNormal">A. Always an estimate of the population mean. </div><div class="MsoNormal">B. Always equal to the population value. </div><div class="MsoNormal">C. An estimate of the population parameter. </div><div class="MsoNormal">D. None of these </div><div class="MsoNormal"><br /></div><div class="MsoNormal">219 Which of the following statements is not a characteristic of the t distribution? </div><div class="MsoNormal">A. It is symmetrical. </div><div class="MsoNormal">B. Like z there is only one t distribution. </div><div class="MsoNormal">C. It is a continuous distribution. </div><div class="MsoNormal">D. It has a mean of 0.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">220 If we wished to decrease the width of a confidence interval, we would not do which of the following</div><div class="MsoNormal">A. Increase the size of the sample</div><div class="MsoNormal">B. Reduce the size of the population</div><div class="MsoNormal">C. Decrease the level of confidence</div><div class="MsoNormal">D. None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">221 Which of the following statements is <span style="mso-spacerun: yes;">&nbsp;</span>regarding a sample? </div><div class="MsoNormal">A. It is a part of population. </div><div class="MsoNormal">B. It must contain at least five observations. </div><div class="MsoNormal">C. It refers to descriptive statistics </div><div class="MsoNormal">D. All of these are correct </div><div class="MsoNormal"><br /></div><div class="MsoNormal">13) A discrete variable is </div><div class="MsoNormal">A. Can assume only certain clearly separated values </div><div class="MsoNormal">B. Cannot be negative. </div><div class="MsoNormal">C. An example of a qualitative variable. </div><div class="MsoNormal">D. Can assume only whole number values. </div><div class="MsoNormal"><br /></div><div class="MsoNormal">222 In a two-sample test of means for independent samples, we use the z distribution when </div><div class="MsoNormal">A. Both population standard deviations are known. </div><div class="MsoNormal">B. nB and n(1-B) are both greater than 5. </div><div class="MsoNormal">C. The population standard deviations are equal. </div><div class="MsoNormal">D. Both populations have at least 4,000 observations. </div><div class="MsoNormal"><br /></div><div class="MsoNormal">223 In a contingency table a sample of 400 people is classified by gender and hair color (4 groups: blond, brown, black, and red). How many degrees of freedom are there? </div><div class="MsoNormal">A. 3 </div><div class="MsoNormal">B. 8 </div><div class="MsoNormal">C. 399 </div><div class="MsoNormal">D. None of these </div><div class="MsoNormal"><br /></div><div class="MsoNormal">224 In a contingency table </div><div class="MsoNormal">A. The number of rows must be the same as the number of columns. </div><div class="MsoNormal">B. A variable is classified according to two criteria. </div><div class="MsoNormal">C. There must be at least 10 observations in each cell. </div><div class="MsoNormal">D. All of these </div><div class="MsoNormal"><br /></div><div class="MsoNormal">225 In a goodness-of-fit test where the sample size is 200, there are 5 categories, and the significance level is .05. The critical value of X2 is </div><div class="MsoNormal">A. 9.488 </div><div class="MsoNormal">B. 11.070 </div><div class="MsoNormal">C. 43.773 </div><div class="MsoNormal">D. None of these</div><div class="MsoNormal"><br /></div><div class="MsoNormal">226 A confidence interval </div><div class="MsoNormal">A. Always includes the population parameter. </div><div class="MsoNormal">B. Decreases in width as the sample size is increased. </div><div class="MsoNormal">C. Cannot include a value of 0 </div><div class="MsoNormal">D. None of these </div><div class="MsoNormal"><br /></div><div class="MsoNormal">227 Which of the following is not a type of probability? </div><div class="MsoNormal">A. Relative frequency </div><div class="MsoNormal">B. Classical </div><div class="MsoNormal">C. Subjective </div><div class="MsoNormal">D. Independent </div><div class="MsoNormal"><br /></div><div class="MsoNormal">228 We use the General Rule of Multiplication to combine </div><div class="MsoNormal">A. Events that total more than 1.00. </div><div class="MsoNormal">B. Events based on subjective probabilities </div><div class="MsoNormal">C. Events that are not independent. </div><div class="MsoNormal">D. Mutually exclusive events. </div><div class="MsoNormal"><br /></div><div class="MsoNormal">229 Which of the following is a correct statement about a probability? </div><div class="MsoNormal">A. It may be greater than 1. </div><div class="MsoNormal">B. It cannot be reported to more than 1 decimal place. </div><div class="MsoNormal">C. It may range from 0 to 1. </div><div class="MsoNormal">D. It may assume negative values.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">230 We wish to develop a confidence interval for the population mean. The shape of the population is not known, but we have a sample of 40 observations. We decide to use the 92% level of confidence. The appropriate value of z is: </div><div class="MsoNormal">A. 1.96 </div><div class="MsoNormal">B. 2.58 </div><div class="MsoNormal">C. 1.75 </div><div class="MsoNormal">D. 1.65</div><div class="MsoNormal"><br /></div><div class="MsoNormal">231 Suppose a population consisted of 20 items. How many different samples of n = 3 are possible? </div><div class="MsoNormal">A. 6840 </div><div class="MsoNormal">B. 20 </div><div class="MsoNormal">C. 120 </div><div class="MsoNormal">D. 1140 </div><div class="MsoNormal"><br /></div><div class="MsoNormal">232 Which of the following statements is not a characteristic of the t distribution? </div><div class="MsoNormal">A. It is a continuous distribution. </div><div class="MsoNormal">B. It is symmetrical. </div><div class="MsoNormal">C. Like z there is only one t distribution. </div><div class="MsoNormal">D. It has a mean of 0</div><div class="MsoNormal"><br /></div><div class="MsoNormal">233 The alternate hypothesis </div><div class="MsoNormal">A. None of these </div><div class="MsoNormal">B. Will always contain the equal sign. </div><div class="MsoNormal">C. Is accepted if the null hypothesis is rejected. </div><div class="MsoNormal">D. Tells the value of the sample mean.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">234 The expected value of the a probability distribution</div><div class="MsoNormal">A. Is the same as the random variable</div><div class="MsoNormal">B. Is another term for the mean</div><div class="MsoNormal">C. Is also called the variance</div><div class="MsoNormal">D. Cannot be greater than 1</div><div class="MsoNormal"><br /></div><div class="MsoNormal">235 For a binomial distribution with n = 15 as π changes from .50 toward .05 the distribution will</div><div class="MsoNormal"><br /></div><div class="MsoNormal">A. Become more positively skewed</div><div class="MsoNormal">B. Become more negatively skewed</div><div class="MsoNormal">C. Become symmetrical</div><div class="MsoNormal">D. All of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">236 In a continuous probability distribution</div><div class="MsoNormal">A. Only certain outcomes are possible.</div><div class="MsoNormal">B. All the values within a certain range are possible</div><div class="MsoNormal">C. The sum of the outcomes is greater than 1.00</div><div class="MsoNormal">D. None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">237 For a binomial distribution</div><div class="MsoNormal">A. n must assume a number between 1 and 20 or 25</div><div class="MsoNormal">B. π must be a multiple of .10</div><div class="MsoNormal">C. There must be at least 3 possible outcomes</div><div class="MsoNormal">D. None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">238 Which of the following is not a requirement of a probability distribution</div><div class="MsoNormal">A. Equally likely probability of a success</div><div class="MsoNormal">B. Sum of the possible outcomes is 1.00</div><div class="MsoNormal">C. The outcomes are mutually exclusive</div><div class="MsoNormal">D. The probability of each outcome is between 0 and 1</div><div class="MsoNormal"><br /></div><div class="MsoNormal">239 In which of the following distributions is the probability of a success usually small?</div><div class="MsoNormal">A. Binomial</div><div class="MsoNormal">B. Poisson</div><div class="MsoNormal">C. Hypergeometric</div><div class="MsoNormal">D. All distribution</div><div class="MsoNormal"><br /></div><div class="MsoNormal">240 In finding confidence intervals for the mean of a normal population by using a t-statistic, student A uses a confidence coefficient of 0.95 while student B uses 0.99. Which one of the following statements is <span style="mso-spacerun: yes;">&nbsp;</span>about the length of the confidence intervals found by A and B?</div><div class="MsoNormal">a. B's interval will always be smaller than A's interval</div><div class="MsoNormal">b. B's interval will usually be smaller than A's interval</div><div class="MsoNormal">c. B's interval will always be larger than A's interval</div><div class="MsoNormal">d. B's interval will usually be larger than A's interval</div><div class="MsoNormal"><br /></div><div class="MsoNormal">241 We know the mean MU of a population. Suppose 1,000 samples of size n are drawn from this population. For each sample we compute a 90% confidence interval for MU. We would expect the mean of the population would NOT be contained within approximately how many of these intervals?</div><div class="MsoNormal">A. 0</div><div class="MsoNormal">B. 10</div><div class="MsoNormal">C. 100</div><div class="MsoNormal">D. 900</div><div class="MsoNormal"><br /></div><div class="MsoNormal">242 If the P-value for your test statistic satisfies p &gt; .25, then:</div><div class="MsoNormal">A. you would not reject H(O) for ALPHA = .05</div><div class="MsoNormal">B. you would reject H(O) for ALPHA = .05</div><div class="MsoNormal">C. you would reject H(O) for ALPHA = .10</div><div class="MsoNormal">D. you would reject H(O) for ALPHA = .01</div><div class="MsoNormal"><br /></div><div class="MsoNormal">243 The appropriate alternative hypothesis for a lower tail test to determine if mean body weight of all the men who have joined a health club is less than 185 pounds would be</div><div class="MsoNormal">A. HA: μ ≥ 185 lb.</div><div class="MsoNormal">B. HA: μ &lt; 185 lb. </div><div class="MsoNormal">C. HA: μ = 185 lb. </div><div class="MsoNormal">D. HA: μ ≠ 185 lb.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">244 The e-mail usage for two different plants of a large company was compared at level of significance 0.05. A sample of 100 employees was selected at each plant. The mean number of e-mail messages sent per employee for one plant was 16 per week and the standard deviation was 4. For the other plant, the mean was 15 and the standard deviation was 3. For the test of equal population means versus unequal population means, the absolute value for the computed test statistic, the critical values, and the p-value respectively are:</div><div class="MsoNormal">A. 2, ± 1.96, 0.0455</div><div class="MsoNormal">B. 3, ± 2.33, 0.0027</div><div class="MsoNormal">C. 3, ± 1.96, 0.0455</div><div class="MsoNormal">D. 2, ± 1.65, 0.0455</div><div class="MsoNormal"><br /></div><div class="MsoNormal">245 Three samples of 10 were used to compare 3 population means. If the Sum of Squares Treatment (SST) is 350, what is the value for the Mean Square Treatment (MST)?</div><div class="MsoNormal">A. 350</div><div class="MsoNormal">B. 175</div><div class="MsoNormal">C. 35. 13</div><div class="MsoNormal"><br /></div><div class="MsoNormal"><br /></div><div class="MsoNormal">246 Which of the following are factors that are important in determining the size of the sample needed in a study? 1. The amount of variation in the population 2. The size of the population 3. The amount of error that can be tolerated </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>. 1 </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>. 2 </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>. 3 </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>. 1, 2, and 3</div><div class="MsoNormal"><br /></div><div class="MsoNormal">247 Populations are studied using samples because of all of the following reasons except </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>it usually takes too much time to study the entire population. </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>management need not be concerned about sampling error. </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>studying the entire population is not cost effective.<span style="mso-spacerun: yes;">&nbsp; </span></div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>it may not be possible to identify all the members of the population</div><div class="MsoNormal"><br /></div><div class="MsoNormal"><br /></div><div class="MsoNormal">248 Which of the following is a major difference between the binomial and the hypergeometric distributions?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The sum of the outcomes can be greater than 1 for the hypergeometric</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The probability of a success changes in the hypergeometric distribution</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The number of trials changes in the hypergeometric distribution</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The outcomes cannot be whole numbers in the hypergeometric distribution</div><div class="MsoNormal">249 Which of the following is not a type of probability?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Subjective</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Independent</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Relative frequency</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Classical</div><div class="MsoNormal"><br /></div><div class="MsoNormal">250 Events are independent if</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>By virtue of one event occurring another cannot</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The probability of their occurrence is greater than 1</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>We can count the possible outcomes</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The probability of one event happening does not affect the probability of another event happening</div><div class="MsoNormal"><br /></div><div class="MsoNormal">251 The Special Rule of Addition is used to combine</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Independent events</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Mutually exclusive events</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Events that total more than one</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Events based on subjective probabilities</div><div class="MsoNormal"><br /></div><div class="MsoNormal">252 We use the General Rule of Multiplication to combine</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Events that are not independent</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Mutually exclusive events</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Events that total more than 1.00</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Events based on subjective probabilities</div><div class="MsoNormal"><br /></div><div class="MsoNormal">253 When we find the probability of an event happening by subtracting the probability of the event not happening from 1, we are using</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Subjective probability</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The complement rule</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The general rule of addition</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The special rule of multiplication</div><div class="MsoNormal"><br /></div><div class="MsoNormal">254 When we determine the number of combinations</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>We are really computing a probability</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The order of the outcomes is not important</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The order of the outcomes is important</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>We multiple the likelihood of two independent trials</div><div class="MsoNormal"><br /></div><div class="MsoNormal">255 In a continuous probability distribution</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Only certain outcomes are possible</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All the values within a certain range are possible</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The sum of the outcomes is greater than 1.00</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">256 For a binomial distribution with n = 15 as p changes from .50 toward .05 the distribution will</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Become more positively skewed</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Become more negatively skewed</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Become symmetrical</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">257 The difference between a random variable and a probability distribution is</div><div class="MsoNormal">A. A random variable does not include the probability of an event</div><div class="MsoNormal">B. A random variable can only assume whole numbers</div><div class="MsoNormal">C. A probability distribution can only assume whole numbers</div><div class="MsoNormal">D. None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">258 The normal distribution is a</div><div class="MsoNormal">A. Discrete distribution</div><div class="MsoNormal">B. Continuous distribution</div><div class="MsoNormal">C. Positively skewed distribution</div><div class="MsoNormal">D. None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">259 Which of the following are characteristics of the normal distribution?</div><div class="MsoNormal">A. It is a symmetric distribution</div><div class="MsoNormal">B. It is bell-shaped</div><div class="MsoNormal">C. It is asymptotic</div><div class="MsoNormal">D. All of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">260 Which of the following are correct statements about a normal distribution?</div><div class="MsoNormal">A. It cannot assume negative numbers.</div><div class="MsoNormal">B. It is defined by its mean and standard deviation</div><div class="MsoNormal">C. All normal distributions have a variance of at least 1</div><div class="MsoNormal">D. All of the above are correct</div><div class="MsoNormal"><br /></div><div class="MsoNormal">261 Which of the following statements is correct regarding the standard normal distribution?</div><div class="MsoNormal">A. It is also called the z distribution</div><div class="MsoNormal">B. Any normal distribution can be converted to the standard normal distribution</div><div class="MsoNormal">C. The mean is 0 and the standard deviation is 1</div><div class="MsoNormal">D. All of the above are correct</div><div class="MsoNormal"><br /></div><div class="MsoNormal">262 The area under a normal curve between 0 and -1.75 is</div><div class="MsoNormal">A. 0401</div><div class="MsoNormal">B. 9599</div><div class="MsoNormal">C. 4599</div><div class="MsoNormal">D. None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal"><br /></div><div class="MsoNormal">263<span style="mso-spacerun: yes;">&nbsp; </span>Which of the following is not a reason for sampling</div><div class="MsoNormal">A. The destructive nature of certain tests</div><div class="MsoNormal">B. The physical impossibility of checking all the items in the population</div><div class="MsoNormal">C. The adequacy of sample results</div><div class="MsoNormal">D. All of the above are reasons for sampling</div><div class="MsoNormal"><br /></div><div class="MsoNormal">264 Which of the following statements is not a characteristic of the t distribution</div><div class="MsoNormal">A. It is a continuous distribution</div><div class="MsoNormal">B. It has a mean of 0</div><div class="MsoNormal">C. It is symmetrical</div><div class="MsoNormal">D. Like z there is only one t distribution</div><div class="MsoNormal"><br /></div><div class="MsoNormal">265 The fraction or ratio of a sample possessing a certain trait is called a</div><div class="MsoNormal">A. Population.</div><div class="MsoNormal">B. Mean</div><div class="MsoNormal">C. Confidence interval</div><div class="MsoNormal">D. Proportion</div><div class="MsoNormal"><br /></div><div class="MsoNormal">266 To develop a confidence interval for a proportion</div><div class="MsoNormal">A. We need to meet the binomial conditions</div><div class="MsoNormal">B. The sample should be at least 100</div><div class="MsoNormal">C. B should be less than .05</div><div class="MsoNormal">D. None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">267 The finite population correction factor is used when</div><div class="MsoNormal">A. n is more than 30</div><div class="MsoNormal">B. N is more than 1000</div><div class="MsoNormal">C. nB is greater than 5</div><div class="MsoNormal">D. n/N is more than .05</div><div class="MsoNormal"><br /></div><div class="MsoNormal">268In a contingency table a sample of 400 people is classified by gender and hair color (4 groups: blond, brown, black, and red). How many degrees of freedom are there?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>3</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>8</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>399</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">269 Suppose we select a sample of 100 observations and organize them into 6 categories. We wish to investigate whether the number of observations could be the same in each of the categories in the population. How many degrees of freedom are there?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>5</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>97</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>3</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of these</div><div class="MsoNormal"><br /></div><div class="MsoNormal">270We wish to estimate the population proportion. We want to be 95 percent confident of our results and we want the estimate to be with .01 of the population parameter. No estimate of the population proportion is available. What value should we use for p?</div><div class="MsoNormal">A. 1.96</div><div class="MsoNormal">B. .01</div><div class="MsoNormal">C. .50</div><div class="MsoNormal">D. We cannot complete the problem, we need more information</div><div class="MsoNormal"><br /></div><div class="MsoNormal">271In a multiple regression equation there</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Are two or more independent variables</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is only one dependent variable</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is one intercept value</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">272<span style="mso-spacerun: yes;">&nbsp; </span>dummy variable or indicator variable</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>May assume only a value of 0 or 1</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is another term for the dependent variable</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is found by (Y - Ŷ)</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is equal to Ŷ</div><div class="MsoNormal"><br /></div><div class="MsoNormal">273 The multiple standard error of estimate is</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is based on the (Y - Ŷ)2<span style="mso-spacerun: yes;">&nbsp;&nbsp; </span></div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is negative when one of the net regression coefficients is 0</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is found by taking the square root of SSR/SS total</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">274 In the ANOVA table the value of k is</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The number of independent variables</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The total number of observations</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The number of degrees of freedom</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The sum of squares total</div><div class="MsoNormal"><br /></div><div class="MsoNormal">275. A correlation matrix</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Shows all simple coefficients of correlation</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Shows all possible net regression coefficients</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Shows the correlations that are positive</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Reports the multiple regression equation</div><div class="MsoNormal"><br /></div><div class="MsoNormal">276. In a multiple regression equation</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>There is only one dependent variable</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The R2 term must be at least .50</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All the regression coefficient must be between -1.00 and 1.00</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">277. Multicollinearity occurs when</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The residuals are correlated</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Time is involved in the analysis</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The independent variables are correlated</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The residuals are not constant for all Y' values</div><div class="MsoNormal"><br /></div><div class="MsoNormal">278. In a global test of hypothesis we determine</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Which independent variables do not equal 0</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Whether any of the set of independent variables differ from 0</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Whether any of the correlation coefficients differ from 0</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal">279. In testing the significance of individual regression coefficients</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The test statistic is the t distribution</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>We test the independent variables individually</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>We usually delete the variables where the null hypothesis is not rejected</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">280 The residual</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is the difference between the actual and the predicted value of the dependent variable</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Cannot assume a negative value</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is also called the correlation matrix</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Has the same degrees of freedom as the MSE term</div><div class="MsoNormal"><br /></div><div class="MsoNormal">281 An index</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Shows a percent change from one period to another</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Must be larger than 100</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Can employ qualitative data</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Cannot assume negative values</div><div class="MsoNormal"><br /></div><div class="MsoNormal">282 For an index number the base period</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Appears in the numerator</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Cannot be less than 100</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Appears in the denominator</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Must be after the year 1980</div><div class="MsoNormal"><br /></div><div class="MsoNormal">283 The Consumer Price Index (CPI) is</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Reported monthly</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Reported by the Bureau of Labor Statistics</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>A Laspeyres type index</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">284 In a Laspeyres price index the</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Base period quantities do not change</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Base period prices do not change</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The base period must be the same as the CPI</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">285 Which of the following is a reason for computing an index?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It is a convenient way of expressing a change in unlike items, such as dollars and bushels.</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It is always at least 100</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The base periods may be different</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">286 In 1995 Eastern Publishing, Inc. employed 35 sales representatives. In 2005 they employed 50 sales representatives. Using 1995 as the base period the index for the number of sales representative in 2005 is</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>50.0</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>143.0</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>70.0</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">287 The Director of Purchasing reported that the industrial production index was 135. This means production</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Increased 35 percent from the base period</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Increased by 35 units from the base period</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Decreased by 35 percent from the base period</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">288 An index increased from 120 to 150 from 2000 to 2005. We conclude that this is</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>An increase of 30 percent</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>A decrease of 30 percent</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>An increase of 25 percent</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">289 An index of 75 was reported. We conclude that</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>There has been a decline of 25 percentage points from the base period</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>An error was made because an index cannot be less than 100</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>There had been an increase of 25 percent since the base period</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">290 Jon earned $50,000 in 2005, when the Consumer Price Index was 200. If the base period is 1995, what are his earnings in terms of 1995 dollars?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>$50,000</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>$25,000</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>$100,000</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">291 What is the “up-and-down” variation, the periods of prosperity followed by recession that occurs over extended periods of time?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>secular trend</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>seasonal variation</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>cyclical variation</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>irregular variation</div><div class="MsoNormal"><br /></div><div class="MsoNormal">292What is the variation within a year called? This is variation, such as high sales at Christmas and Easter and low sales in January is called the</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>secular trend</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>seasonal variation</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>cyclical variation</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>irregular variation</div><div class="MsoNormal"><br /></div><div class="MsoNormal">293 A linear trend for time series data beginning in 2001 and extending up through 2006 (data for 6 years) is Ŷ = 5.2 + 3.1t. The forecast for 2007 is</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>23.8</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>26.9</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>30.0</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>21.7</div><div class="MsoNormal">294 The least squares equation for sales data going from 2001 to 2006 is Ŷ = 10 + 1.3t What is the plot for the year 2004?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>t = 6, y = 17.8</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>t = 0, y = 10.0</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>t = 4, y = 15.2</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>t = 10, y = 0.0</div><div class="MsoNormal"><br /></div><div class="MsoNormal">295 The linear trend equation developed for the annual sales (in $thousands) of the Jordan Manufacturing Company is Ŷ = 500 + 60t. By how much are sales increasing per year?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>$60,000 per year</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>$6,000 per month</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>$500,000 per year</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>$6,000 per year</div><div class="MsoNormal"><br /></div><div class="MsoNormal">296 To conduct a nonparametric test the</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Population must follow the normal distribution</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The standard deviation must be known</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It is not necessary to make any assumption about the shape of the population</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The data must be at least interval scale</div><div class="MsoNormal"><br /></div><div class="MsoNormal">297 Which of the following is not a characteristic of the X2</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Its shape is based on the sample size</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It is not negative</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It is positively skewed</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It approaches a normal distribution as the degrees of freedom increase</div><div class="MsoNormal"><br /></div><div class="MsoNormal">298 In a goodness-of-fit test where the sample size is 200, there are 5 categories, and the significance level is .05. The critical value of X2 is</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>9.488</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>11.070</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>43.773</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">299 In a goodness-of-fit test</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All the cell frequencies must be the same</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>There must be at least 30 observations</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Forty percent of the cells must contain at least 10 observations</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">300 In a contingency table</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The number of rows must be the same as the number of columns</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>A variable is classified according to two criteria</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>There must be at least 10 observations in each cell</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">301 Under what conditions could the X2 distribution assume negative values?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>When the sample size is small</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>When the cell frequencies are all equal</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>When the degrees of freedom is 1</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Never</div><div class="MsoNormal"><br /></div><div class="MsoNormal">302 The difference between a permutation and a combination is:</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>In a permutation order is important and in a combination it is not</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>In a permutation order is not important and in a combination it is important</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>A combination is based on the classical definition of probability</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>A permutation is based on the classical definition of probability</div><div class="MsoNormal"><br /></div><div class="MsoNormal">303 Bayes' Theorem</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is an example of subjective probability</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Can assume of value less than 0</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is used to revise a probability based on new or additional information</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is found by applying the complement rule</div><div class="MsoNormal"><br /></div><div class="MsoNormal">304 When we determine the number of combinations</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>We are really computing a probability</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The order of the outcomes is not important</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The order of the outcomes is important</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>We multiple the likelihood of two independent trials</div><div class="MsoNormal"><br /></div><div class="MsoNormal">305 The alternate hypothesis</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is accepted if the null hypothesis is rejected</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Will always contain the equal sign</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Tells the value of the sample mean</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">306 The level of significance</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is frequently .05 or .01</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Can be any value between 0 and 1</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is the likelihood of rejecting the null hypothesis when it is </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">307 A Type I error is</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The correct decision</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>A value determined from the test statistic</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Rejecting the null hypothesis when it is </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Accepting the null hypothesis when it is </div><div class="MsoNormal"><br /></div><div class="MsoNormal">308 Which of the following is not a characteristic of the X2</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It approaches a normal distribution as the degrees of freedom increase</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It is positively skewed</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Its shape is based on the sample size</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It is not negative</div><div class="MsoNormal"><br /></div><div class="MsoNormal"><br /></div><div class="MsoNormal">309 When we find the probability of an event happening by subtracting the probability of the event not happening from 1, we are using</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Subjective probability</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The complement rule</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The general rule of addition</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Joint probability</div><div class="MsoNormal"><br /></div><div class="MsoNormal">310 We use the General Rule of Multiplication to combine</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Events that are not independent</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Mutually exclusive events</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Events that total more than 1.00</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Events based on subjective probabilities</div><div class="MsoNormal">311 Events are independent if</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>By virtue of one event happening another cannot</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The probability of their occurrence is greater than 1</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>We can count the possible outcomes</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The probability of one event happening does not affect the probability of another event happening</div><div class="MsoNormal"><br /></div><div class="MsoNormal"><br /></div><div class="MsoNormal">312 In a one-tailed test</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The rejection region is in only one of the tails</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The rejection region is split between the tails</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The p-value is always less than the significance level</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The p-value is always more than the significance level</div><div class="MsoNormal"><br /></div><div class="MsoNormal">313 To conduct a one sample test of means and use the z distribution as the test statistic</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>We need to know the population mean.</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>We need to know the population standard deviation</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>We need nπ to be less than 5.</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Both a and b are correct</div><div class="MsoNormal"><br /></div><div class="MsoNormal">314 In a two-sample test of means for independent samples, we use the z distribution when</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The population standard deviations are equal</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Both populations have at least 4000 observations</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Both population standard deviations are known</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>nB and n(1-B) are both greater than 5</div><div class="MsoNormal"><br /></div><div class="MsoNormal">315 Which of the following is a requirement for a two-sample test of proportions</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The population standard deviations are equal</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Both populations are positively skewed</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Both samples are at least 30</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>nB and n(1-B) are both greater than 5</div><div class="MsoNormal"><br /></div><div class="MsoNormal">316 A random sample of 10 observations is selected from the first normal population and 8 from the second normal population. For a one-tailed test of hypothesis (.01 significance level) to determine if there is a difference in the population means, the degrees of freedom are</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>18</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>17</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>16</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">317 A random sample of 10 observations is selected from the first normal population and 8 from the second normal population. For a one-tailed test of hypothesis (.01 significance level) to determine if there is a difference in the population means, the critical value(s) are</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>2.552</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>-2.921, 2.921</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>-2.583, 2.583</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal"><br /></div><div class="MsoNormal">318 A p-value is</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The same as the population proportion</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The same as the significance level</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The fraction of the population that has a particular characteristic</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The probability of finding a value of the test statistic this extreme when the null hypothesis is </div><div class="MsoNormal"><br /></div><div class="MsoNormal">319 A Type II error occurs when</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>We accept a <span style="mso-spacerun: yes;">&nbsp;</span>null hypothesis</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>We reject a <span style="mso-spacerun: yes;">&nbsp;</span>alternate hypothesis</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>We reject a <span style="mso-spacerun: yes;">&nbsp;</span>null hypothesis</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">320 Which of the following is not a characteristic of the X2 </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It approaches a normal distribution as the degrees of freedom increase.</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It is positively skewed. </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Its shape is based on the sample size.</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It is not negative.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">321 A correlation matrix</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Shows the correlations that are positive. </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Shows all possible net regression coefficients. </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Reports the multiple regression equation. </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Shows all simple coefficients of correlation.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">322 In a multiple regression equation</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>There is only one dependent variable. </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The R2 term must be at least .50</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All the regression coefficient must be between -1.00 and 1.00</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of these</div><div class="MsoNormal"><br /></div><div class="MsoNormal">323 A.<span style="mso-spacerun: yes;">&nbsp; </span>dummy variable or indicator variable</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is found by (Y - Y).</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is another term for the dependent variable</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is equal to Y</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>May assume only a value of 0 or 1</div><div class="MsoNormal"><br /></div><div class="MsoNormal">334 A correlation matrix</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Shows the correlations that are positive</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Shows all possible net regression coefficients</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Reports the multiple regression equation</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Shows all simple coefficients of correlation</div><div class="MsoNormal"><br /></div><div class="MsoNormal">335 In a multiple regression equation</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>There is only one dependent variable</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The R2 term must be at least .50</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All the regression coefficient must be between -1.00 and 1.00</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of these</div><div class="MsoNormal"><br /></div><div class="MsoNormal">336 The Special Rule of Addition is used to combine</div><div class="MsoNormal">A. Independent events</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Events that total more than one</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Events based on subjective probabilities</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Mutually exclusive events</div><div class="MsoNormal"><br /></div><div class="MsoNormal">337 Events are independent if</div><div class="MsoNormal">A. By virtue of one event happening another cannot</div><div class="MsoNormal">B, We can count the possible outcomes</div><div class="MsoNormal">C. The probability of one event happening does not affect the probability of another event happening</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The probability of their occurrence is greater than 1</div><div class="MsoNormal"><br /></div><div class="MsoNormal">338 Suppose a population consisted of 20 items. How many different samples of n = 3 are possible?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>6840</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>20</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>120</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>1140</div><div class="MsoNormal">339 The weighted mean is a special case of the:</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>A. Mean </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>B. Median </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>C. Mode </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>D. Geometric mean</div><div class="MsoNormal"><br /></div><div class="MsoNormal">340 In a set of observations, which measure of central tendency reports the value that occurs most often?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Mean </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Median </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Mode </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Geometric mean</div><div class="MsoNormal">341 Which of the following statements are correct when deciding whether to use the z or the t distribution</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Use zin a test of proportions when nπ and n(1 - π) are greater than or equal to 5</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Use z when we have a normal population and we know the standard deviation</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Use t when the population is normal and the population standard deviation is not known</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above statements are correct</div><div class="MsoNormal"><br /></div><div class="MsoNormal">342 In a two-sample test of means for independent samples, the equal sign always appears in</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The null hypothesis</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The alternate hypothesis</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The upper tail of the test statistic</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">343 Which of the following is not a requirement for the two-sample test of means for independent samples observations?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Normal populations</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Equal population standard deviations</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Equal sample sizes</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above are required</div><div class="MsoNormal"><br /></div><div class="MsoNormal">344 To conduct a test of means for two independent samples which of the following are always required?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>At least one of the samples must have 30 observations</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Both samples must have 30 observations</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>np and n (1 - p) must be 5</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">345 Which of the following is not a type of probability?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Classical</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Independent</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Subjective</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Relative frequency</div><div class="MsoNormal"><br /></div><div class="MsoNormal">346 We use the General Rule of Multiplication to combine</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Events based on subjective probabilities</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Mutually exclusive events</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Events that are not independent</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Events that total more than 1.00</div><div class="MsoNormal"><br /></div><div class="MsoNormal">347 The difference between a random variable and a probability distribution is</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>A random variable does not include the probability of an event</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>A random variable can only assume whole numbers</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>A probability distribution can only assume whole numbers</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">348 Suppose a population consisted of 20 items. How many different samples of n = 3 are possible</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>120</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>20</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>1140</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>6840</div><div class="MsoNormal">349 The standard error of estimate is</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Based on squared deviations from the regression line</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>May assume negative values</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is in squared units of the independent variable</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">350 Which of the following is not a necessary condition for regression analysis</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The standard deviation of each of the conditional distributions must be the same</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The Y values are independent</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>For each X value, there is a group of Y values and these Y values are normally distributed</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The slope of the regression line is positive (increasing)</div><div class="MsoNormal"><br /></div><div class="MsoNormal">351 A dummy variable or indicator variable</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is found by (Y - Y)</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is another term for the dependent variable</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is equal to Y</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>May assume only a value of 0 or 1</div><div class="MsoNormal"><br /></div><div class="MsoNormal">352 A correlation matrix</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Shows the correlations that are positive</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Shows all possible net regression coefficients</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Reports the multiple regression equation</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Shows all simple coefficients of correlation</div><div class="MsoNormal"><br /></div><div class="MsoNormal">353 In a multiple regression equation</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>There is only one dependent variable</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The R2 term must be at least</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All the regression coefficient must be between -1.00 and 1.00</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of these</div><div class="MsoNormal"><br /></div><div class="MsoNormal">354 An experiment is a</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The act of taking a measurement or the observation of some activity</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Collection of outcomes</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Collection of events</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Always greater than 1</div><div class="MsoNormal"><br /></div><div class="MsoNormal">355. Which of the following is not based on squared deviations from the regression line?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The coefficient of correlation</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The coefficient of determination</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The standard deviation</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The standard error of estimate</div><div class="MsoNormal"><br /></div><div class="MsoNormal">356. In an ANOVA table for regression, the degrees of freedom for regression is</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Equal to 1</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>n – 1</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>n – 2</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">357 The multiple standard error of estimate is</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is based on the (Y - Y)2</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is negative when one of the net regression coefficients is 0</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is found by taking the square root of SSR/SS total</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of these</div><div class="MsoNormal"><br /></div><div class="MsoNormal">358 In a two-sample test of means for independent samples, the equal sign always appears in</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The null hypothesis</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The alternate hypothesis</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The upper tail of the test statistic</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of these</div><div class="MsoNormal"><br /></div><div class="MsoNormal">359 To conduct a nonparametric test the</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The data must be at least interval scale</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The standard deviation must be known</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Population must follow the normal distribution</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It is not necessary to make any assumption about the shape of the population</div><div class="MsoNormal"><br /></div><div class="MsoNormal">360 Which of the following is not necessary to determine a p-value</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Knowledge of whether the test is one-tailed or two-tailed</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The value of the test statistic</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The level of significance</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">361 When conducting a test of hypothesis for the dependent samples</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>We should have at least 30 pairs</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The significance level is more than .05</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The p-value is more than .10</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">362 Given a two-tail test for the population mean, the null hypothesis contains a(n) __________ sign, and the alternative hypothesis contains a(n) ___________ sign. </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>. ?, = </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>. =, ? </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>. ?, = </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>. =, ?</div><div class="MsoNormal"><br /></div><div class="MsoNormal">363 If each of a set of raw scores is transformed into a Z-score, the new distribution will have a standard deviation equal to </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>. zero. </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>. one. </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>. the mean of the original distribution. </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>. the standard deviation of the original distribution</div><div class="MsoNormal"><br /></div><div class="MsoNormal">367 Consider the following two columns that describe different types of data: </div><div class="MsoNormal">368 Nominal 1. Qualitative B. Discrete 2. Quantitative C. Ordinal D. Continuous The correctly paired groupings of the two columns is </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>. 1–AB 2–CD </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>. 1–AD 2–BC </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>. 1–AC 2–BD </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>. 1–BC 2–AD</div><div class="MsoNormal"><br /></div><div class="MsoNormal">369 Arrange the following steps in correct sequence: 1. Begin sampling. 2. Determine the sample size. 3. Establish the sampling frame. </div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>. 1, 2, 3 </div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>. 2, 1, 3 </div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>. 3, 1, 2 </div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>. 3, 2, 1 Q14</div><div class="MsoNormal"><br /></div><div class="MsoNormal">370 To conduct a test of hypothesis for dependent samples we assume that</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The distribution of the difference between the paired observations follows the normal distribution</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Both samples are at least 30</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The samples are unrelated</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">371 To conduct a test of means for two independent samples which of the following are always required?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>At least one of the samples must have 30 observations.</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Both samples must have 30 observations</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>np and n (1 - p) must be 5</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">372 The term ANOVA</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Has no special meaning</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Stands for Analysis of Variance</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Stands for Another Numerical Observation of the Variance</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">373 The general idea of analysis of variance is to compare estimates of variance</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>From both between the treatment means and within the treatment means</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Based on the several treatments</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>From within the treatments</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">374 Which of the following is not a characteristic of the F distribution?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It is a discrete distribution</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>In cannot be negative</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It is based on two sets of degrees of freedom</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">375 The term “Treatment” refers to</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>A source of variation</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The numerator degrees of freedom</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The variation within the cells</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">376 Suppose we select 6 observations from each of three treatments. The appropriate degrees of freedom are</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>3 and 6</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>2 and 6</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>2 and 15</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">377 The term MSE</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is called the mean square error</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is found by SSE/(n - k)</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is an estimate of the common population variance</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">378 Which of the following is not an assumption required for ANOVA?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The populations are normally distributed</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The populations have equal standard deviations</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The samples are independent</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">379 Under which of the following conditions will the computed value of F be negative?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>When there is no difference in the treatment means</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>When there is no difference in the block means</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>When the SS total is larger than SST</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>F cannot be negative</div><div class="MsoNormal">380 Suppose we conduct an ANOVA test of four treatment means and reject the null hypothesis. Construction of a confidence interval for the difference between the first and second sample mean revealed the interval to be 10 plus or minus 12. We conclude</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>This pair of means differ</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>This pair of means does not differ</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Because we do not know the units involved, we cannot draw any conclusion</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Because we do not know the degrees of freedom, we cannot draw any conclusion</div><div class="MsoNormal"><br /></div><div class="MsoNormal">381 In a two-way ANOVA the second source of variation is due to</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Random error</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Blocks</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Total variation</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">382 A scatter diagram is a chart</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>In which the dependent variable is scaled along the vertical axis</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>In which the independent variable is scaled along the horizontal axis</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>That portrays the relationship between two variables</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">383 In correlation analysis</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>We consider several independent variables</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>We study the strength of the association between two variables</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>We consider the intercept with the Y-axis</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>None of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">384 The sample coefficient of correlation</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Has the same sign as the slope, i.e. b</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Can range from -1.00 up to 1.00</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is also called Pearson=s r</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">385 The coefficient of determination</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Is the square of the coefficient of correlation</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Cannot be negative</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Reports the percent of the variation in the dependent variable explained by the independent variable</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal">386 Suppose we developed the following least squares regression equation: Y= = 3.5 + 2.1X. Which of the following statements are correct?</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The dependent variable increases 2.1 for an increase of 1 in X</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The equation crosses the Y-axis at 3.5</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>If X = 5, then Y= = 14</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>All of the above</div><div class="MsoNormal"><br /></div><div class="MsoNormal"><br /></div><div class="MsoNormal">387 The term SSR/SS total is also called the</div><div class="MsoNormal">A.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Sum of squares due to regression</div><div class="MsoNormal">B.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Coefficient of determination</div><div class="MsoNormal">C.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Standard error of estimate</div><div class="MsoNormal">D.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Coefficient of correlation</div><div class="MsoNormal">388. Which of the following statements is not a characteristic of the t distribution?</div><div class="MsoNormal">E.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It is symmetrical</div><div class="MsoNormal">F.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Like z there is only one t distribution</div><div class="MsoNormal">G.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It is a continuous distribution</div><div class="MsoNormal">H.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>It has a mean of 0.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">389. A nominal scale variable is </div><div class="MsoNormal">E.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Cannot have more than two categories. </div><div class="MsoNormal">F.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>B. Has a meaningful zero point. </div><div class="MsoNormal">G.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>C. Usually the result of counting something </div><div class="MsoNormal">F.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>May assume negative values.</div><div class="MsoNormal">390: What area under the standard normal curve falls outside the Z values -1.96 and 1.96?</div><div class="MsoNormal">A. 0.05 </div><div class="MsoNormal">B. 0.01 </div><div class="MsoNormal">C. 0.90 </div><div class="MsoNormal">D. 0.10 </div><div class="MsoNormal"><br /></div><div class="MsoNormal">391 Which level of measurement is required for the median? </div><div class="MsoNormal">A. Nominal </div><div class="MsoNormal">B. Ordinal </div><div class="MsoNormal">C. Interval </div><div class="MsoNormal">D. Ratio </div><div class="MsoNormal"><br /></div><div class="MsoNormal">392 The weighted mean is a special case of the: </div><div class="MsoNormal">A. Mean </div><div class="MsoNormal">B. Median </div><div class="MsoNormal">C. Mode </div><div class="MsoNormal">D. Geometric mean </div><div class="MsoNormal"><br /></div><div class="MsoNormal">393 In a set of observations, which measure of central tendency reports the value that occurs most often?</div><div class="MsoNormal">A. Mean </div><div class="MsoNormal">B. Median </div><div class="MsoNormal">C. Mode </div><div class="MsoNormal">D. Geometric mean </div><div class="MsoNormal"><br /></div><div class="MsoNormal">394 The mean and the variance are equal in </div><div class="MsoNormal">A. All probability distributions. </div><div class="MsoNormal">B. The binomial distribution. </div><div class="MsoNormal">C. The Poisson distribution. </div><div class="MsoNormal">D. The hypergeometric distribution. </div><div class="MsoNormal"><br /></div><div class="MsoNormal">395 Which of the following is not a requirement of a binomial distribution? </div><div class="MsoNormal">A. A constant probability of success. </div><div class="MsoNormal">B. Only two possible outcomes. </div><div class="MsoNormal">C. A fixed number of trails. </div><div class="MsoNormal">D. Equally likely outcomes. </div><div class="MsoNormal"><br /></div><div class="MsoNormal">396 In which of the following distributions is the probability of a success usually small? </div><div class="MsoNormal">A. Binomial </div><div class="MsoNormal">B. Poisson </div><div class="MsoNormal">C. Hypergeometric </div><div class="MsoNormal">D. All distribution</div><div class="MsoNormal"><br /></div><div class="MsoNormal">397 A sample </div><div class="MsoNormal">A. Is part of the population. </div><div class="MsoNormal">B. Has more than 30 observations. </div><div class="MsoNormal">C. Is usually identified as N. </div><div class="MsoNormal">D. All of these </div><div class="MsoNormal"><br /></div><div class="MsoNormal">398 If each of a set of raw scores is transformed into a Z-score, the new distribution will have a standard deviation equal to</div><div class="MsoNormal">A. zero.</div><div class="MsoNormal">B. one.</div><div class="MsoNormal">C. the mean of the original distribution.</div><div class="MsoNormal">D. the standard deviation of the original distribution.</div><div class="MsoNormal"><br /></div><div class="MsoNormal">-----------------------------------------------------------------------------</div><div class="MsoNormal"><span style="mso-spacerun: yes;">&nbsp;</span>OR </div><div class="MsoNormal">1.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The role of statistics is business research is to capture a population’s characteristics by using inferential statistics from a sample’s characteristics – </div><div class="MsoNormal"><br /></div><div class="MsoNormal">2.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The difference between business research and scientific research is that business research does not involve a hypothesis – </div><div class="MsoNormal"><br /></div><div class="MsoNormal"><br /></div><div class="MsoNormal">3.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Business research usually requires use of the both qualitative and quantitative data – </div><div class="MsoNormal"><br /></div><div class="MsoNormal">4.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>A sample does not need to be representative of the larger population as long as the sample is large enough – </div><div class="MsoNormal"><br /></div><div class="MsoNormal"><br /></div><div class="MsoNormal">5.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>A research design is always based on a research question – </div><div class="MsoNormal"><br /></div><div class="MsoNormal">6.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>A theory is a statement about a population parameter developed for testing – </div><div class="MsoNormal"><br /></div><div class="MsoNormal"><br /></div><div class="MsoNormal">7.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The z-test statistic is used when performing a small sample (&lt;30) test of means – </div><div class="MsoNormal"><br /></div><div class="MsoNormal">8.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The test of whether two variables are related results in an ANOVA table – </div><div class="MsoNormal"><br /></div><div class="MsoNormal"><br /></div><div class="MsoNormal">9.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Correlation analysis is the study of the relationship between variables – </div><div class="MsoNormal"><br /></div><div class="MsoNormal">10.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>A correlation of -.25 is weaker than a correlation of +.15 – </div><div class="MsoNormal"><br /></div><div class="MsoNormal"><br /></div><div class="MsoNormal">11.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>The number of individuals in a family is a continuous variable. </div><div class="MsoNormal"><br /></div><div class="MsoNormal">12.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Distributions are spread out more than a normal distribution with MU = 0, SIGMA = 1. <span style="mso-spacerun: yes;">&nbsp;</span></div><div class="MsoNormal"><br /></div><div class="MsoNormal"><br /></div><div class="MsoNormal">13.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>A random sample of 64 cars passing a check point on a certain highway showed a mean speed of 60 mph. The standard deviation of speeds is known to be 15 mph. In this case 60 mph is a point estimate of the population mean speed on this highway. </div><div class="MsoNormal"><br /></div><div class="MsoNormal">14.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>According to the Central Limit Theorem, the shape of the sampling distribution of sample mean (given that n ≥ 30) will be normal, whether or not the shape of the population is normal. </div><div class="MsoNormal"><br /></div><div class="MsoNormal"><br /></div><div class="MsoNormal">15.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>If the sample size is large (n ≥ 30), the standard deviation of the sample mean will equal the population standard deviation for that random variable. </div><div class="MsoNormal"><br /></div><div class="MsoNormal">16.<span style="mso-tab-count: 1;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Level of confidence is another name for level of significance. </div><div class="MsoNormal">If we would reject a null hypothesis at the 5% level, we would also reject it at the 1% level. </div><div class="MsoNormal"><br /></div><div class="MsoNormal"><br /></div><div class="MsoNormal">17. A Type I error is committed when one accepts the null hypothesis when it is . </div><div class="MsoNormal"><br /></div><div class="MsoNormal">18. In a one-way ANOVA, when the null hypothesis is , the calculated F-ratio would exceed the critical value of F for the chosen significance level. </div><div class="MsoNormal"><br /></div><div class="MsoNormal">19. Rejection of a hypothesis using a nonparametric test is more convincing than using an equivalent parametric test when the data are badly skewed. </div><div class="MsoNormal"><br /></div><div class="MsoNormal">20. Most nonparametric tests assume ordinal data. </div><div class="MsoNormal"><br /></div><div class="MsoNormal">21.One of the assumptions of regression analysis is that the error terms are normally distributed. </div><div class="MsoNormal"><br /></div><div class="MsoNormal"><br /></div><div class="MsoNormal">&nbsp;<!--[if gte mso 9]><xml> <w:WordDocument> <w:View>Normal</w:View> <w:Zoom>0</w:Zoom> <w:PunctuationKerning/> <w:ValidateAgainstSchemas/> <w:SaveIfXMLInvalid>false</w:SaveIfXMLInvalid> <w:IgnoreMixedContent>false</w:IgnoreMixedContent> <w:AlwaysShowPlaceholderText>false</w:AlwaysShowPlaceholderText> <w:Compatibility> <w:BreakWrappedTables/> <w:SnapToGridInCell/> <w:WrapTextWithPunct/> <w:UseAsianBreakRules/> <w:DontGrowAutofit/> </w:Compatibility> <w:BrowserLevel>MicrosoftInternetExplorer4</w:BrowserLevel> </w:WordDocument> </xml><![endif]--><!--[if gte mso 9]><xml> <w:LatentStyles DefLockedState="false" LatentStyleCount="156"> </w:LatentStyles> </xml><![endif]--><!--[if gte mso 10]> <style> /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman"; mso-ansi-language:#0400; mso-fareast-language:#0400; mso-bidi-language:#0400;}</style> <![endif]--> </div><div class="MsoNormal"><a href="https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&amp;hosted_button_id=LD3M2VW5MZQ6G"><b style="mso-bidi-font-weight: normal;"><u><span style="color: lime; font-size: 18.0pt;">DOWNLOAD QNT561 FINAL EXAM : 350+ ANSWERS</span></u></b></a></div><div class="blogger-post-footer"><img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/5836580767028546618-2263808802558648278?l=guyswithlonghair.blogspot.com' alt='' /></div>regular555@gmail.comnoreply@blogger.comtag:blogger.com,1999:blog-5836580767028546618.post-28795205826089259892012-01-30T14:14:00.000-08:002012-01-30T14:19:51.190-08:00RES341 Final Exam - 4 sets of Final exam<!--[if gte mso 9]><xml> <w:WordDocument> <w:View>Normal</w:View> <w:Zoom>0</w:Zoom> <w:PunctuationKerning/> <w:ValidateAgainstSchemas/> <w:SaveIfXMLInvalid>false</w:SaveIfXMLInvalid> <w:IgnoreMixedContent>false</w:IgnoreMixedContent> <w:AlwaysShowPlaceholderText>false</w:AlwaysShowPlaceholderText> <w:Compatibility> <w:BreakWrappedTables/> <w:SnapToGridInCell/> <w:WrapTextWithPunct/> <w:UseAsianBreakRules/> <w:DontGrowAutofit/> </w:Compatibility> <w:BrowserLevel>MicrosoftInternetExplorer4</w:BrowserLevel> </w:WordDocument> </xml><![endif]--><!--[if gte mso 9]><xml> <w:LatentStyles DefLockedState="false" LatentStyleCount="156"> </w:LatentStyles> </xml><![endif]--><!--[if gte mso 10]> <style> /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman"; mso-ansi-language:#0400; mso-fareast-language:#0400; mso-bidi-language:#0400;}</style> <![endif]--> <br /><div align="center" class="MsoNormal" style="text-align: center;"><b><u><span style="color: lime; font-family: &quot;Times New Roman&quot;; font-size: 20.0pt; line-height: 115%;">Exam : 1</span></u></b><b style="mso-bidi-font-weight: normal;"><u><span style="color: lime; font-size: 20.0pt; line-height: 115%;"></span></u></b></div><table border="0" cellpadding="0" cellspacing="3" class="MsoNormalTable" style="margin-left: 2.2pt; mso-cellspacing: 2.2pt; mso-padding-alt: 2.25pt 2.25pt 2.25pt 2.25pt; mso-yfti-tbllook: 160; width: 100.0%;"><tbody><tr style="mso-yfti-firstrow: yes; mso-yfti-irow: 0;"> <td style="padding: 2.25pt 2.25pt 2.25pt 2.25pt; width: 100.0%;" width="100%"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">1)&nbsp;A statistician working for the Department of the Interior is constructing a systematic random sample of trees in a forest preserve. All trees have been identified and numbered with a non-invasive number attached to the bark. The statistician wishes to estimate the mean height of the trees in the forest preserve, and has calculated an appropriate sample size of n=43 trees. The 587th of the 731 trees in the preserve was selected as the first observation in the sample. What is the tree number of the second observation in the sample?</span></div></td> </tr><tr style="mso-yfti-irow: 1;"> <td style="padding: 2.25pt 2.25pt 2.25pt 2.25pt;"><table border="0" cellpadding="0" cellspacing="0" class="MsoNormalTable" style="mso-cellspacing: 0in; mso-padding-alt: 0in 0in 0in 0in; mso-yfti-tbllook: 160;"><tbody><tr style="mso-yfti-firstrow: yes; mso-yfti-irow: 0;"> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><br /></div></td> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">A.</span><span style="font-family: &quot;Times New Roman&quot;;"></span></div></td> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">.....</span></div></td> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">588</span></div></td> </tr><tr style="mso-yfti-irow: 1;"> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><br /></div></td> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">B.</span><span style="font-family: &quot;Times New Roman&quot;;"></span></div></td> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">.....</span></div></td> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">630</span></div></td> </tr><tr style="mso-yfti-irow: 2;"> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><br /></div></td> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">C.</span><span style="font-family: &quot;Times New Roman&quot;;"></span></div></td> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">.....</span></div></td> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">544</span></div></td> </tr><tr style="mso-yfti-irow: 3; mso-yfti-lastrow: yes;"> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><br /></div></td> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">D.</span><span style="font-family: &quot;Times New Roman&quot;;"></span></div></td> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">.....</span></div></td> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">604</span></div></td> </tr></tbody></table><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;"></span></div></td> </tr><tr style="mso-yfti-irow: 2;"> <td style="padding: 2.25pt 2.25pt 2.25pt 2.25pt;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><br /></div></td> </tr><tr style="mso-yfti-irow: 3;"> <td style="padding: 2.25pt 2.25pt 2.25pt 2.25pt; width: 100.0%;" width="100%"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">2)&nbsp;What is the difference between probability sampling and simple random sampling?</span></div></td> </tr><tr style="mso-yfti-irow: 4;"> <td style="padding: 2.25pt 2.25pt 2.25pt 2.25pt;"><table border="0" cellpadding="0" cellspacing="0" class="MsoNormalTable" style="mso-cellspacing: 0in; mso-padding-alt: 0in 0in 0in 0in; mso-yfti-tbllook: 160;"><tbody><tr style="mso-yfti-firstrow: yes; mso-yfti-irow: 0;"> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><br /></div></td> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">A.</span><span style="font-family: &quot;Times New Roman&quot;;"></span></div></td> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">.....</span></div></td> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">Probability sampling is a type of simple random sample.</span></div></td> </tr><tr style="mso-yfti-irow: 1;"> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><br /></div></td> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">B.</span><span style="font-family: &quot;Times New Roman&quot;;"></span></div></td> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">.....</span></div></td> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">In probability sampling each item has an identical chance of being chosen.</span></div></td> </tr><tr style="mso-yfti-irow: 2;"> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><br /></div></td> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">C.</span><span style="font-family: &quot;Times New Roman&quot;;"></span></div></td> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">.....</span></div></td> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">There is no difference.</span></div></td> </tr><tr style="mso-yfti-irow: 3; mso-yfti-lastrow: yes;"> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><br /></div></td> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">D.</span><span style="font-family: &quot;Times New Roman&quot;;"></span></div></td> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">.....</span></div></td> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">Simple random sampling is a type of probability sampling.</span></div></td> </tr></tbody></table><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;"></span></div></td> </tr><tr style="mso-yfti-irow: 5;"> <td style="padding: 2.25pt 2.25pt 2.25pt 2.25pt;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><br /></div></td> </tr><tr style="mso-yfti-irow: 6;"> <td style="padding: 2.25pt 2.25pt 2.25pt 2.25pt; width: 100.0%;" width="100%"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">3)&nbsp;A poll is planned to determine what proportion of all students favor an increase in fees to support a new track and field stadium. A questionnaire will be published and the first 1000 completed questionnaires will be analyzed. Which of the following errors will be associated with the sample?</span></div></td> </tr><tr style="mso-yfti-irow: 7;"> <td style="padding: 2.25pt 2.25pt 2.25pt 2.25pt;"><table border="0" cellpadding="0" cellspacing="0" class="MsoNormalTable" style="mso-cellspacing: 0in; mso-padding-alt: 0in 0in 0in 0in; mso-yfti-tbllook: 160;"><tbody><tr style="mso-yfti-firstrow: yes; mso-yfti-irow: 0;"> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><br /></div></td> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">A.</span><span style="font-family: &quot;Times New Roman&quot;;"></span></div></td> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">.....</span></div></td> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">Errors due to interviewer bias and selection bias</span></div></td> </tr><tr style="mso-yfti-irow: 1;"> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><br /></div></td> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">B.</span><span style="font-family: &quot;Times New Roman&quot;;"></span></div></td> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">.....</span></div></td> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">Sampling errors only</span></div></td> </tr><tr style="mso-yfti-irow: 2;"> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><br /></div></td> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">C.</span><span style="font-family: &quot;Times New Roman&quot;;"></span></div></td> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">.....</span></div></td> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">Sampling errors and errors due to selection bias</span></div></td> </tr><tr style="mso-yfti-irow: 3; mso-yfti-lastrow: yes;"> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><br /></div></td> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">D.</span><span style="font-family: &quot;Times New Roman&quot;;"></span></div></td> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">.....</span></div></td> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">Only non-sampling errors</span></div></td> </tr></tbody></table><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;"></span></div></td> </tr><tr style="mso-yfti-irow: 8;"> <td style="padding: 2.25pt 2.25pt 2.25pt 2.25pt;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><br /></div></td> </tr><tr style="mso-yfti-irow: 9;"> <td style="padding: 2.25pt 2.25pt 2.25pt 2.25pt; width: 100.0%;" width="100%"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">4)&nbsp;Which of the following statements is false?</span></div></td> </tr><tr style="mso-yfti-irow: 10;"> <td style="padding: 2.25pt 2.25pt 2.25pt 2.25pt;"><table border="0" cellpadding="0" cellspacing="0" class="MsoNormalTable" style="mso-cellspacing: 0in; mso-padding-alt: 0in 0in 0in 0in; mso-yfti-tbllook: 160;"><tbody><tr style="mso-yfti-firstrow: yes; mso-yfti-irow: 0;"> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><br /></div></td> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">A.</span><span style="font-family: &quot;Times New Roman&quot;;"></span></div></td> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">.....</span></div></td> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">A summary measure calculated from some of the items of interest is a statistic.</span></div></td> </tr><tr style="mso-yfti-irow: 1;"> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><br /></div></td> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">B.</span><span style="font-family: &quot;Times New Roman&quot;;"></span></div></td> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">.....</span></div></td> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">Statistical inference is the process of making a prediction based on only a small piece of information.</span></div></td> </tr><tr style="mso-yfti-irow: 2;"> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><br /></div></td> <td style="padding: 0in 0in 0in 0in;"><div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;"><span style="font-family: &quot;Times New Roman&quot;;">C.</span><span style="font-