SME_8e_Ch_15_Section_2

# SME_8e_Ch_15_Section_2 - 1 CHAPTER 15 SECTION 2 CHI-SQUARED...

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Unformatted text preview: 1 CHAPTER 15 SECTION 2: CHI-SQUARED 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 chi-squared test of a multinomial experiment. b. The chi-squared test of a contingency table. c. The t-test of the difference between two means. d. The z-test 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 chi-squared 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 chi-squared 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 chi-squared 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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## This note was uploaded on 09/28/2010 for the course FINOPMGT 250 taught by Professor Kumar during the Spring '10 term at University of Massachusetts Boston.

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SME_8e_Ch_15_Section_2 - 1 CHAPTER 15 SECTION 2 CHI-SQUARED...

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