The table below lists the frequency of wins for different post positions in a horse race. A post position of 1 is closest to the inside rail, so that horse has the shortest distance to run. (Because the number of horses varies from year to year, only the first 10 post positions are included.) Use a 0.05 significance level to test the claim that the likelihood of winning is the same for the different post positions. Based on the result, should bettors consider the post position of a horse race? Post Position 10 00 - I W Wins 19 12 Determine the null and alternative hypotheses. Hy: Calculate the test statistic, x x2 = (Round to three decimal places as needed.) Calculate the P-value. P-value = (Round to four decimal places as needed.) What is the conclusion for this hypothesis test? O A. Fail to reject Ho. There is sufficient evidence to warrant rejection of the claim that the likelihood of winning is the same for the different post positions. O B. Reject Ho- There is sufficient evidence to warrant rejection of the claim that the likelihood of winning is the same for the different post positions. O C. Reject Ho- There is insufficient evidence to warrant rejection of the claim that the likelihood of winning is the same for the different post positions. O D. Fail to reject Ho. There is insufficient evidence to warrant rejection of the claim that the likelihood of winning is the same for the different post positions. Based on the result, should bettors consider the post position of a horse race? O No O YesIn a study of high school students at least 16 years of age, researchers obtained survey results summarized in the accompanying table. Use a 0.05 significance level to test the claim of independence between texting while driving and driving when drinking alcohel. Are those two risky behaviors independent of each other? B Click the icon to view the table of survey results. Determine the null and alternative hypotheses Hy v H, Determine the test statistic. = (Round to two decimal places as needed.) Determine the P-value of the test statistic. P-value=| |(Round to three decimal places as nseded.) Do the results suggest that texting while driving and driving while drinking are related? () A. Fail to reject the null hypathesis. There is not sufficient evidence to warrant rejection of the claim that texting while driving happens 95% of the time when driving while drinking alcohol. (O B. Reject the null hypothesis. There is sufficient evidence to warrant rejection of the claim that texting while driving happens 95% of the time when driving while drinking alcohol. (O C. Rejectthe null hypothesis. There is sufficient evidence at a 0.05 significance level to warrant rejection of the claim of independence between texting while driving and driving while drinking alcohol Those two risky behaviors appear to be somehow related (O D. Fail to reject the null hypothesis. There Is not sufficient evidence at a 0.05 significance level to warrant rejection of the claim of independance between texting while driving and driving while drinking alcohol. Those two risky behaviors are not related. Survey Results Drove When Drinking Alcohol? No o Texted While Driving No Texting While Driving