Listed in the accompanying table are weights (Ib) of samples of the contents of cans of regular Coke and Diet Coke. Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal. Click the icon to view the data table of can weights. Use a 0.05 significance level to test the claim that the contents of cans of regular Coke have weights with a mean that is greater than the mean for Diet Coke. What are the null and alternative hypotheses? Assume that population 1 consists of regular Coke and population 2 consists of Diet Coke. OA. HO: H1 SH2 OB. HO: M1 = H2 H1: H1 > H2 H1: M1 # H2 O C. HO: H1 = H2 OD. HO: H1 # H2 H1: H1 > H2 The test statistic is . (Round to two decimal places as needed.) The P-value is . (Round to three decimal places as needed.) State the conclusion for the test. A. Reject the null hypothesis. There is sufficient evidence to support the claim that cans of regular Coke have weights with a mean that is greater than the mean for Diet Coke. O B. Fail to reject the null hypothesis. There is not sufficient evidence to support the claim that cans of regular Coke have weights with a mean that is greater than the mean for Diet Coke O C. Reject the null hypothesis. There is not sufficient evidence to support the claim that cans of regular Coke have weights with a mean that is greater than the mean for Diet Coke O D. Fail to reject the null hypothesis. There is sufficient evidence to support the claim that cans of regular Coke have weights with a mean that is greater than the mean for Diet Coke. X Can weights Regular coke Diet coke 0.81921 0.77730 0.81495 .77581 0.81632 0.7895 0.82114 0.78680 0.81810 0.78443 0.82473 0.78611 0.80622 0.78059 0.81280 0.78298 0.81721 0.7851 0.81 101 0.78786 0.82514 0.78813 0.82636 0.7826 0.79233 0.78517 0.78720 0.78133 Print Done