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The state labor relations board is investigating potential income inequality among male and female managers. It has compiled salaries (in dollars) from random samples of male and female managers working in a variety of companies. Use the Excel output for the F-test on variances and t-test on means to identify whether each of the following conclusions is correct. You must make a selection for each option. Click once to place a check mark for correct answers. Click twice to leave blank for the wrong answers. At the 10% significance level, the null hypothesis of equal population variances is rejected. At the 5% significance level, the null hypothesis of equal population variances is not rejected. At the 5% significance level, conclude that male managers have a higher salary, on average, than female managers. At the 10% significance level, conclude that male and female managers have different average salaries. ® F-Test for Equality of Variance 74649600 Variance: Male 55950400 Variance: Female 1.33 F 0.3774 p-value (one-tail) Two-sample t-test (Independent Groups) Male Female 75420 mean 78652 8640 42 7480 std. dev. 39 n 78 df 3232.00 difference (Male Female) 0 hypothesized difference 1.80 t 0.0379 p-value (one-tail) 0.0758 p-value (two-tal)

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