Consider a drug that is used to help prevent blood clots in certain patients. In clinical trials, among 6034 patients treated with this drug, 165 developed the adverse reaction of nausea. Use a 0.10 significance 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. OA. Ho: p=0.03 H₁ :p #0.03 OB. Ho: p=0.03 H₁: p<0.03 OC. Ho: p=0.03 H₁: p > 0.03 O D. Ho: p *0.03 H₁: p=0.03 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. O A. Reject Ho. There is sufficient evidence to warrant rejection of the claim that 3% of users develop nausea. OB. Fail to reject Ho. There is not sufficient evidence to warrant rejection of the claim that 3% of users develop nausea.

Historically, Olympic officials have reported testosterone levels in general should be u = 538 ng/dL, with o = 189, with x being normally distributed. Summer Olympic sprinters (n = 8) from the U.S. were tested for testosterone levels the morning after the opening ceremonies. Their sample mean was ng/dL. Do these data indicate that the sprinters had an overall average testosterone level greater than 538? Use a = .05. State a, H,, H1, p-value, rejection, or non-rejection, and be certain to interpret your results.

A researcher hypothesizes that different colors of cars result in different average speeds.  To test this claim, she took a random sample of 20 people who own 4 different colors of colors of cars  (n = 20, N = 80, G = 4), and she then tracks their average speed on the highway for a week of driving.  The following ANOVA table has some of her results.  Please help her answer her research questions by completing the following ANOVA table below and answering the follow-up questions.  Be sure to label your answers with the appropriate letter and show all your work! Source  Sums of Squares     df   Mean Square        F     Effect (between)             Error (within) 100.90     ------ Total 170.10     ------- ------ a) What is the Sums of Squares (SS) between (effect)? b) What are the Mean Square (MS) between (effect) and the MS within (error)? c) What are the degrees of freedom (df) between, the df within, and the df total? d) What is the overall F-statistic? e) Based on the…

Response Insurance collects data on seatbelt use among U.S. drivers. Of 1000 drivers 25-34 years old, 270 said that they buckle up, whereas 330 of 1100 drivers 45-64 years old said that they did. At the 5% significance leve do the data suggest that there is a difference in seat-belt use between drivers 25-34 years old and those 45-64 years old? Use the Two-Proportions z-Test.