Since standard deviations are different, we use 2- sample t-test
with unequal variance


b)
99% confidence interval
df = 53.644
t for 99% confidence level = 2.671

The following null and alternative hypotheses need to be tested: Ho: Mi = u2 Ha: Mi 7 u2 This corresponds to a two-tailed test, for which a t-test for two population means, with two independent samples, with unknown population standard deviations will be used. (2) Rejection Region Based on the information provided, the significance level is a = 0.05, and the degrees of freedom are df = 53.644. In fact, the degrees of freedom are computed as follows, assuming that the population variances are unequal: Hence, it is found that the critical value for this two-tailed test is te = 2.005, for a = 0.05 and df = 53.644. The rejection region for this two-tailed test is R = {t:t > 2.005). (3) Test Statistics Since it is assumed that the population variances are unequal, the t-statistic is computed as follows: t= X1 – X2 si si V ning 85.2 – 82.1 = 2.962
(4) Decision about the null hypothesis Since it is observed that t = 2.962 > t = 2.005, it is then concluded that the null hypothesis is rejected. Using the P-value approach: The p-value is p = 0.0045, and since p = 0.0045 < 0.05, it is concluded that the null hypothesis is rejected. (5) Conclusion It is concluded that the null hypothesis Ho is rejected. Therefore, there is enough evidence to claim that population mean jy is different than 42, at the 0.05 significance level.
Confidence Interval The 99% confidence interval is 0.305<Mi - M2 < 5.895.