Use SPSS to test the following two null hypotheses, report the p-value for each null hypothesis, and provide your conclusions. If the null hypothesis is rejected (p < .05; i.e., the relationship is found to be significant), interpret the nature of the relationship (by looking at observed values and compare them to expected values). 1. : There is no association between gender and how many nights a student goes out. (Hint: Recode Nights into a different variable Nights2 with two categories: values between 0 to 2 nights recoded as new value 1 and all others as new value 2.) p-value=0.017 2. : There is no association between Greek membership and GPA. (Hint: Recode GPA into a different variable GPA2: all values up to 3.19 recoded as new value 1, and values 3.2 or above as new value 2.) Write null and alternative hypotheses ( and ) for each of the following statements/questions. Use SPSS to calculate a p value for each question and derive your conclusions. p-value=0.85 3. On average the students go out 3 times per week. (You are trying to show that the students do not go out 3 times per week. That is your prediction/hypothesis, which you'll