Suppose 214 subjects are treated with a drug that is used to treat pain and 55 of them developed nausea. Use a 0.10 significance level to test the claim that more than 20% of users develop nausea.Identify the null and alternative hypotheses for this test. Choose the correct answer below.O A. Ho: p=0.20H1: p+0.20О в. Но: р30.20H1:p>0.20Ос. Но: р30.20H:p<0.20O D. Ho: p>0.20H1:p= 0.20Identify 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.O A. Fail to reject Hn. There is not sufficient evidence to warrant support of the claim that more than 20% of users develop nausea.B. Fail to reject Ho- There is sufficient evidence to warrant support of the claim that more than 20% of users develop nausea.C. Reject Hg. There is sufficient evidence to warrant support of the claim that more than 20% of users develop nausea.O D. Reject Ho. There is not sufficient evidence to warrant support of the claim that more than 20% of users develop nausea.

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Answered: Suppose 214 subjects are treated with a…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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In testing hypotheses, which of the following would be strong evidence against the null hypothesis?a. Obtaining data with a test statistic of small magnitude.b. Obtaining data with a small P-value.c. Obtaining data with a large P-value.d. Using a large level of significance, α.e. Using a small level of significance, α
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"In your response indicate whether CPAs in states that have flat state income tax rates work fewer hours per week during tax season compared to the US average. You will want to formally set up H0 and Ha, report either the test statistic (z-value) or p-value, and explain why you either reject or fail to reject your null hypothesis."
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