Hypothesis (null) There is no relation between the independent variable Academic Year Salary and the remaining dependent variables, Sex, Academic Rank, Number of Years in current Rank, Highest Degree obtained, and Number of years since highest degree was earned

Hypothesis (alternative) There is a relationship between the independent variable Academic Year Salary and the remaining dependent variables, Sex, Academic Rank, Number of Years in current Rank, Highest Degree obtained, and Number of years since highest degree was earned

A linear regression analysis will be used to test the null hypothesis

The null hypothesis is rejected at the specified .05 level, Adjusted R-squared= 0.76, p <.05

Hypothesis (null) There is no relation between the independent variable Academic Year Salary and Gender

Hypothesis (alternative) There is a relationship between the independent variable Academic Year Salary and Gender

A linear regression analysis will be used to test the null hypothesis

Fail to reject the null hypothesis at the specified .05 level, Adjusted R-squared= 0.05, p >.05

The true difference between the salaries of male and female faculty is between -2597.48 and 1502.53.

Hypothesis (null) There is no relationship between the independent variable Academic Year Salary and Sex

Hypothesis (alternative) There is a relationship between the independent variable Academic Year Salary and Sex

A linear regression analysis will be used to test the null hypothesis

Hypothesis (null) There is no difference by sex in the mean yearly academic salary

Hypothesis (alternative) There is a difference by sex in the the mean yearly academic salary

A t-test will be used to test the null hypothesis

Fail to reject the null hypothesis at the specified .05 level, Adjusted R-squared= 0.05, p >.05

Fail to reject the null hypothesis at the specified .05 level, t= 1.85, p* >.05

Both the regression and t-test analysis failed to reject the null hypothesis at the .05 level. The regression and t-test analysis resulted in the same answer. The difference between the mean salary in the two groups (male and female) tested through regression and a t-test are the same and therefore has the same outcome.