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Unformatted text preview: 1 CHAPTER 15 SECTION 2: CHISQUARED TESTS MULTIPLE CHOICE 67. Which statistical technique is appropriate when we wish to analyze the relationship between two qualitative variables with two or more categories? a. The chisquared test of a multinomial experiment. b. The chisquared test of a contingency table. c. The ttest of the difference between two means. d. The ztest of the difference between two proportions. ANS: B PTS: 1 REF: SECTION 15.2 68. Contingency tables are used in: a. testing independence of two samples. b. testing dependence in matched pairs. c. testing independence of two qualitative variables in a population. d. describing a single population. ANS: C PTS: 1 REF: SECTION 15.2 69. The chisquared test of a contingency table is based upon: a. two qualitative variables. b. two quantitative variables. c. one qualitative variable. d. one quantitative variable. ANS: A PTS: 1 REF: SECTION 15.2 70. To address whether two variables are related in a contingency table, the null hypothesis, H , says that a. The two variables are independent. b. The two variables are dependent. c. The two variables are equal. d. None of these choices. ANS: A PTS: 1 REF: SECTION 15.2 71. To address whether two variables are related in a contingency table, the alternative hypothesis, H 1 , is: a. The two variables are independent. b. The two variables are dependent. c. The two variables are equal. d. None of these choices. ANS: B PTS: 1 REF: SECTION 15.2 2 72. How do you find the probabilities needed to obtain expected frequencies for a test of a contingency table? a. If there are r rows and c columns, let each probability be 1/ rc . b. Use the probabilities specified in the null hypothesis. c. Assume H is true and use your data to calculate them. d. None of these choices. ANS: C PTS: 1 REF: SECTION 15.2 73. The number of degrees of freedom for a contingency table with r rows and c columns is: a. r + c b. rc c. ( r 1 )( c 1 ) d. None of these choices. ANS: C PTS: 1 REF: SECTION 15.2 74. If you reject H in a test of a contingency table, you conclude that based on your data: a. The two nominal variables are independent. b. The two nominal variables are equal. c. The two nominal variables have the same proportions listed in H . d. None of these choices. ANS: D PTS: 1 REF: SECTION 15.2 75. A large chisquared test statistic in a test of a contingency table means you conclude: a. The two nominal variables are dependent. b. The two nominal variables are equal. c. The two nominal variables have the same proportions listed in H . d. None of these choices. ANS: A PTS: 1 REF: SECTION 15.2 76. A chisquared test statistic in a test of a contingency table that is equal to zero means: a. The two nominal variables are independent....
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 Spring '10
 Kumar

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