A) Should the equal variances assumed row be used in this case? Why or why not? B) What is the null hypothesis in this example? C.) What is the mean difference between female and male senators approval ratings?D.) Is the difference in the mean approval ratings of male and female senators statistically significant? Explain your response by using both the confidence interval approach and the p value approach to determine statistical significance .

Part III Statistical Analyses (25 Points Apiece) 1) Are female senators more popular than male senators? Some research indicates that female legislators pass more legislation and secure more tax dollars for their constituents than do their male colleagues. Based on this evidence some scholars hypothesize that female lawmakers will have higher approval ratings than their male colleagues. The following output contains the t test for the difference of means in the approval ratings of female and male U.S. senators from 2017- 2019. T-Test Comparing Female and Male Senators' Approval Ratings Group Statistics Seantor's Sex Mean Std. Deviation Sid. Error Mean Senate Approval Rating Male 928 47.2 7.357 241 memale 47.36 6.319 385 Independent Samples Test Levene's Test for Equality of Variances t-test for Equality of Means Std. 95% Confidence Mean Error Interval of the Sig. (2- Difference Differenc Difference Sig. df tailedda Lower Upper Senate Equal variances 3.227 .073 -192 1196 .848 - 095 493 Approval 1.063 .873 assumed Rating Equal variances .209 500 3 .835 1095 454 not assumed