Question

(2 points) Use the Minitab display to test the claims. Use the a = 0.05 significance level. The sample data are SAT scores on the verbal and math portions of SAT- Analysis of Variance for SAT Source DF SS MS F P Gender 1 52700 52700 4.99 0.032 Ver/Math 5988 5988 0.57 0.456 Interaction 31348 31348 2.97 0.093 Error 35 376592 10556 Total 38 466628 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? O A. No OB. Yes 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? O A. No O 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? O A. No O B. Yes

Answer 1

The type of test 695 tes? claim effect on that the SAT scores. The E test Statistic is 0.57 The prvalue is 0.456 Is there the claim effect sufficient evidence to support that the type of the test has scores p SAT fer O e A NO Because povalve > level of significee ie: Re accept the null hypothesisi is that there no: sufficient to evidence Support the claim. CS Scanned with CamScanner