Answer Happy

Use the Excel printout to answer the following questions. t-Test: Two-Sample Assuming Equal Variances E E F Variable 1 Mean 28.689 G Variable 2 28.207 Variance 5.059 2.257 8 7 3.766 0 13 Observations Pooled Variance Hypothesized Mean Difference df t t Stat P(T <= t) one-tail t Critical one-tail P(T <= t) two-tail t Critical two-tail 0.480 0.320 1.771 0.639 2.160 In testing for a difference between the two population means, would you conclude that the assumption of a common variance is reasonable? Yes, the ratio of the the larger variance to the smaller variance is less than three. Yes, the ratio of the larger variance to the smaller variance is more than three. O No, the ratio of the larger variance to the smaller variance is less than three. O No, the ratio of the larger variance to the smaller variance is more than three. It is not possible to check that assumption with the given information. What is the observed value of the test statistic? What are the degrees of freedom for the pooled estimate of the population variance? df = What is the p-value of the test? p-value = What can you conclude concerning the null hypotheses in this case if a = 0.05? Since the p-value is greater than 0.05, the results are significant. There is sufficient evidence to indicate a difference in the two population means
What can you conclude concerning the null hypotheses in this case if a = 0.05? Since the p-value is greater than 0.05, the results are significant. There is sufficient evidence to indicate a difference in the two population means. Since the p-value is less than 0.05, the results are not significant. There is insufficient evidence to indicate a difference in the two population means. Since the p-value is greater than 0.05, the results are not significant. There is insufficient evidence to indicate a difference in the two population means. O Since the p-value is less than 0.05, the results are significant. There is sufficient evidence to indicate a difference in the two population means.