QUESTION 1 This question refers to testing an hypothesis about a population proportion (chapter 5.3). Match each answer to the appropriate scenario (Note that here each answer should be matched to a scenario and so no possible answer should be left unmatched). - vIf the p-value of the test is 0.075 A. we reject the null hypothesis at the 5% significance level but not at the 1% level - v If the p-value of the test is 0.02 B. we fail to reject the null hypothesis at the 10% significance level - If the p-value of the test is 0.12 C. we reject the null at the 10% significance level but we fail to reject the null hypothesis - v If the p-value of the test is 0.007 at the 5% significance level D. we reject the null hypothesis at the 1% significance level QUESTION 2 The mean for the t-distribution studied in chapter 7 is Zero Positive O Negative Can be any number QUESTION 3 Suppose that, in a random sample of 800 US adults, 63% of them say the government has the responsibility to provide health care coverage for all. We want to test the hypothesis that, say, p = 0.1. What is the appropriate standard error to use to compute the z-score relevant for the test? (Hint: check the book on this if you do not remember) None of the other options O 0.0106 O 0.017 O 0.016 QUESTION 4 This question refers to testing an hypothesis about a population proportion (chapter 5.3). Match each answer to the appropriate scenario (Note that here each answer should be matched to a scenario and so no possible answer should be left unmatched). .If the z-score from the test is 2.05 A. then the p-value of the test is approximately 0.040 - If the z-score from the test is -2.05 B. then the p-value of the test is approximately 0.05 - If the z-score from the test is 2.43 C. then the p-value of the test is approximately 0.015 . if the z-score from the test is 1.96 Click Save and Submit to save and submit. Click Save All Answers to save all answers