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Using the data shown in the accompanying contingency table, test whether the population proportions differ at the = 0.05 level of significance by determining (a) the null and alternative hypotheses, (b) the test statistic, and (c) the P-value. Assume that the samples are dependent and were obtained randomly. Click the icon to view the contingency table. (a) Let p, represent the proportion of success for treatment A and p, represent the proportion of success for treatment B. What are the null and alternative hypotheses? OA. Ho: P1 = P2 H1: P1 #P2 O B. Ho: P1 =P2 H1: P1 > P2 O C. Ho: P1 =P2 H1: P1

Using the data shown in the accompanying contingency table, test whether the population proportions differ at the = 0.05 level of significance by determining (a) the null and alternative hypotheses, (b) the test statistic, and (c) the P-value. Assume that the samples are dependent and were obtained randomly. Click the icon to view the contingency table. (a) Let p, represent the proportion of success for treatment A and p, represent the proportion of success for treatment B. What are the null and alternative hypotheses? OA. Ho: P1 = P2 H1: P1 #P2 O B. Ho: P1 =P2 H1: P1 > P2 O C. Ho: P1 =P2 H1: P1

College Algebra (MindTap Course List)
College Algebra (MindTap Course List)
12th Edition
ISBN:9781305652231
Author:R. David Gustafson, Jeff Hughes
Publisher:R. David Gustafson, Jeff Hughes
Chapter8: Sequences, Series, And Probability
Section8.7: Probability
Problem 58E: What is meant by the sample space of an experiment?
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Using the data shown in the accompanying contingency table, test whether the population proportions differ at the a = 0.05 level of significance by determining (a) the null and alternative hypotheses, (b) the test statistic, and (c) the P-value. Assume that the samples are dependent and were obtained randomly. Click the icon to view the contingency table. (a) Let p, represent the proportion of success for treatment A and p, represent the proportion of success for treatment B. What are the null and alternative hypotheses? A. Ho: P1 = P2 H1: P1 # P2 B. Ho: P1 = P2 H1: P1 > P2 Ho: P1 = P2 H1: P1 <P2 D. Ho: P1 # P2 H1: P1 = P2 (b) The test statistic x6 is (Round to two decimal places as needed.) Contingency Table Treatment A Success Failure Success 43 26 Treatment B Failure 28
Transcribed Image Text:Using the data shown in the accompanying contingency table, test whether the population proportions differ at the a = 0.05 level of significance by determining (a) the null and alternative hypotheses, (b) the test statistic, and (c) the P-value. Assume that the samples are dependent and were obtained randomly. Click the icon to view the contingency table. (a) Let p, represent the proportion of success for treatment A and p, represent the proportion of success for treatment B. What are the null and alternative hypotheses? A. Ho: P1 = P2 H1: P1 # P2 B. Ho: P1 = P2 H1: P1 > P2 Ho: P1 = P2 H1: P1 <P2 D. Ho: P1 # P2 H1: P1 = P2 (b) The test statistic x6 is (Round to two decimal places as needed.) Contingency Table Treatment A Success Failure Success 43 26 Treatment B Failure 28
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