Honestly stuck on the entire problem and need help solving for part b. I think the research and null hypothesis might be correct but need serious help on part b and c.

YOUR FULL NAME: 34) The table below has t-test results for the variable HRSRELAX in married GSS 2014 respondents. [6 points total]. Respondents Sex Mean Standard Standard Error Deviation Mean Hours per day M 3.56 2.566 .229 respondent have F 2.88 2.164 - .204 to relax Levene's Test t-test for Equality of Means for Equality of Variances Hours per Sig. df Sig (2- Mean Std. Error 95% 95% day tailed) Difference Difference Confidence Confidence respondent Interval of Interval of have to relax the the Difference Difference Lower Upper Equal 2.596 2.225 237 .027 .687 1309 .079 1.298 variance Unequal 2.246 236.126 .026 .687 .306 .084 1.290 variance We are interested in whether there is a difference between married men and married women in the number of hours they have to relax during the day. a) State the research and null hypotheses (1 pt) Ho : MFU 2 H , : M . F U2 b) Is there a significant difference between married men and married women in the number of hours they have to relax during the day? Set alpha at 0.05. How do you know (from the SPSS output). Assume equal variance]. [2 pts] There is a significant differen showing a per Hadj Frepen ence between the hours & respondents have to relax. c) What if we changed it to a one tailed test? What would you conclude? How do you know? (3 pts) it we changed it to a one tailed test we would conclude that men have ( THE SAME ) more hous per day to relax than women. we would not have to test For no difference rather If one Is greater or less. By looking at the means we find some evidence . 9