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. $$\begin{array}{l} \begin{array}{l} \mbox{Analysis \ of Variance for \ SAT } \end{array} \cr \begin{array}{lrrrrr} \mbox{Source} & \mbox{DF} & \mbox{SS} & \mbox{MS} & \mbox{F} & \mbox{P} \cr \mbox{Gender} & 1 & 52664 & 52664 & 5.03 & 0.031 \cr \mbox{Ver/Math} & 1 & 5995 & 5995 & 0.57 & 0.454 \cr \mbox{Interaction} & 1 & 31643 & 31643 & 3.02 & 0.091 \cr \mbox{Error} & 35 & 377657 & 10472 & & \cr \mbox{Total} & 38 & 467959 & & & \end{array} \end{array}$$ Test the claim that SAT scores are not affected by an interaction between gender and test (verbal/math).
The $F -$test statistic is
The P-value is
Does there appear to be a significant effect from the interaction between gender and test?
A. Yes
B. No

Test the claim that gender has an effect on SAT scores.
The $F -$test statistic is
The P-value is
Is there sufficient evidence to support the claim that gender has an effect on SAT scores?
A. No
B. Yes

Test the claim that the type of test (math/verbal) has an effect on SAT scores.
The $F -$test statistic is
The P-value is
Is there sufficient evidence to support the claim that the type of test has an effect on SAT scores?
A. Yes
B. No