Q15:

Which of the following is NOT a true statement about error in hypothesis testing? Choose the correct answer below. O A. A type I error is making the mistake of rejecting the null hypothesis when it is actually false. O B. A type ll error is making the mistake of failing to reject the null hypothesis when it is actually false. O C. The symbol a represents the probability of a type I error. O D. A type I error is making the mistake of rejecting the null hypothesis when it is actually true.Identify the test statistic for this hypothesis test. The test statistic for this hypothesis test is (Round to two decimal places as needed.) Identify the P-value for this hypothesis test. The P-value for this hypothesis test is (Round to three decimal places as needed.) Identify the conclusion for this hypothesis test. Identify the conclusion for this hypothesis test. 0 A. Reject H0. There is not sufcient evidence to warrant rejection of the claim that 3% of users develop nausea. O B. Reject H0. There is sufcient evidence to warrant rejection of the claim that 3% of users develop nausea. O C. Fail to reject H0. There is sufcient evidence to warrant rejection of the claim that 3% of users develop nausea. O D. Fail to reject H0. There is not sufcient evidence to warrant rejection of the claim that 3% of users develop nausea. Does nausea appear to be a problematic adverse reaction? Since the rate of nausea appears to be relatively V it V a problematic adverse reaction. Consider a drug that is used to help prevent blood clots in certain patients. In clinical trials, among 6113 patients treated with this drug, 152 developed the adverse reaction of nausea. Use a 0.05 signicance level to test the claim that 3% of users develop nausea. Does nausea appear to be a problematic adverse reaction? Identify the null and alternative hypotheses for this test. Choose the correct answer below. 0 A. H0: p=0.03 H1 : p > 0.03 OB. H0:p=0.03 H1:p