Use the Minitab display to test the claims. Use the $\alpha=0.05$ significance level. The sample data are SAT scores on the verbal and math portions of SAT-I. $$\begin{array}{l} \begin{array}{l} \mbox{Analysis of Variance for SAT } \end{array} \cr \begin{array}{lrrrrr} \mbox{Source} & \mbox{DF} & \mbox{SS} & \mbox{MS} & \mbox{F} & \mbox{P} \cr \mbox{Gender} & 1 & 52664 & 52664 & 5.03 & 0.031 \cr \mbox{Ver/Math} & 1 & 5995 & 5995 & 0.57 & 0.454 \cr \mbox{Interaction} & 1 & 31643 & 31643 & 3.02 & 0.091 \cr \mbox{Error} & 35 & 377657 & 10472 & & \cr \mbox{Total} & 38 & 467959 & & & \end{array} \end{array}$$
1. Test the claim that SAT scores are not affected by an interaction between gender and test (verbal/math).

(a) The $F -$test statistic is .

(b) The P-value is .

(c) Does there appear to be a significant effect from the interaction between gender and test?

A. Yes
B. No

2. Test the claim that gender has an effect on SAT scores.

(a) The $F -$test statistic is .

(b) The P-value is .

(c) Is there sufficient evidence to support the claim that gender has an effect on SAT scores?

A. No
B. Yes

3. Test the claim that the type of test (math/verbal) has an effect on SAT scores.

(a) The $F -$test statistic is .

(b) The P-value is .

(c) Is there sufficient evidence to support the claim that the type of test has an effect on SAT scores?

A. Yes
B. No