2 Based on our sample data set, perform a 2-sample t-test to see if the population male and female average salaries could be equal to each other. (Since we have not yet covered testing for variance equality, assume the data sets have statistically equal variances.) Ho: Male salary mean = Female salary mean Ha: Male salary mean =/= Female salary mean Test to use: t-Test: Two-Sample Assuming Equal Variances P-value is: Is P-value < 0.05 (one tail test) or 0.025 (two tail test)? Reject or do not reject Ho: If the null hypothesis was rejected, calculate the effect size value: If the null hypothesis was rejected, calculate the effect size value: If calculated, what is the meaning of effect size measure: If calculated, what is the meaning of effect size measure: Interpretation: b. Is the one or two sample t-test the proper/correct apporach to comparing salary equality? Why?