Random samples of female and male drivers are asked to estimate the number of miles that each drives in a year. The data is below:

Females (Population 1): 9100, 8400, 8900, 8900, 9800, 9800, 9700, 8300, 9300

Males (Population 2): 10300, 10200, 9900, 8700, 9800, 10200, 9700

Is there evidence, at an $\alpha = 0.035$ level of significance, to conclude that there is a difference in the number of miles driven between females and males? (Assume that the population variances are equal.) Carry out an appropriate hypothesis test, filling in the information requested.

A. The value of the standardized test statistic:

Note: For the next part, your answer should use interval notation. An answer of the form $(-\infty, a)$ is expressed (-infty, a), an answer of the form $(b, \infty)$ is expressed (b, infty), and an answer of the form $(-\infty, a) \cup (b, \infty)$ is expressed (-infty, a)U(b, infty).

B. The rejection region for the standardized test statistic:

C. The p-value is

D. Your decision for the hypothesis test:

A. Do Not Reject $H_1$.
B. Do Not Reject $H_0$.
C. Reject $H_0$.
D. Reject $H_1$.