This is a statistics question. I believe it is only based on the "employee" nomenclature which are the last 100 (51 men, 49 women). How do I determine "best jobs"? we are studying ANOVA so I am assuming this would be a Two-Way ANOVA? Please help.

Use the attached data set for our company to address the following.

Task assignments to employees are supposed to be done at random. On a certain day, all the best jobs, in order of desirability, were given to the men. Is there evidence of sex discrimination? Discuss this also in the context of a continuing, daily operation. What would happen if you tested the randomness hypothesis everyday?

Rank Monmly Salary Gender lianlr Mommy Salary Gender Rank Mommy Salary Gender Rank Monmly Salary Gender Rank Mommy Salary Gender Senior Manager 175,111) M Supervisor 75,111) M Employees 45,111) F Employees 45,111) M Employees 45,111) M Manager 11!),111) M Supervisor 75,111) F Employees 45,111) M Employees 45,111) F Employees 45,111) F Manager 11!),111) M Supervisor 75,111) M Employees 45,111) M Employees 45,111) M Employees 45,111) M Manager 11!),111) M Supervisor 75,111) M Employees 45,111) F Employees 45,111) F Employees 45,111) F Manager 11!),111) M Employees 45,111) M Employees 45,111) M Employees 45,111) M Employees 45,111) M Manager 100,11!) F Employees 45,011) F Employees 45,111) M Employees 45,111) F Employees 45,011) F Manager 100,11!) F Employees 45,011) F Employees 45,111) F Employees 45,111) M Employees 45,011) M Manager 11!),111) F Employees 45,111) M Employees 45,111) M Employees 45,111) F Employees 45,111) F Manager 11!),111) F Employees 45,111) M Employees 45,111) M Employees 45,111) M Employees 45,111) F Manager 11!),111) F Employees 45,111) M Employees 45,111) F Employees 45,111) F Employees 45,111) M Supervisor 75,111) M Employees 45,111) F Employees 45,111) M Employees 45,111) M Employees 45,111) M Supervisor 75,11!) F Employees 45,111) F Employees 45,111) F Employees 45,111) F Employees 45,111) F Supervisor 75,111) M Employees 45,111) M Employees 45,111) M Employees 45,111) M Employees 45,111) M Supervisor 75,11!) F Employees 45,111) M Employees 45,111) F Employees 45,111) F Employees 45,111) F Supervisor 75,111) M Employees 45,111) M Employees 45,111) M Employees 45,111) M Employees 45,111) F Supervisor 75,111) M Employees 45,111) F Employees 45,111) F Employees 45,111) F Employees 45,111) M Supervisor 75,11!) F Employees 45,111) F Employees 45,111) M Employees 45,111) M Employees 45,111) M Supervisor 75,11!) F Employees 45,111) M Employees 45,111) F Employees 45,111) F Employees 45,111) F Supervisor 75,11!) F Employees 45,111) M Employees 45,111) M Employees 45,111) M Employees 45,111) M Supervisor 75,111) M Employees 45,111) F Employees 45,111) F Employees 45,111) F Employees 45,111) F Supervisor 75,111) M Employees 45,111) F Employees 45,111) M Employees 45,111) M Employees 45,111) F Supervisor 75,111) M Employees 45,111) M Employees 45,111) F Employees 45,111) F Employees 45,111) M Supervisor 75,111) M Employees 45,111) F Employees 45,111) M Employees 45,111) M Employees 45,111) M Supervisor 75,11!) F Employees 45,111) F Employees 45,111) F Employees 45,111) F Employees 45,111) F Supervisor 75,11!) F Employees 45,111) M Employees 45,111) M Employees 45,111) M Employees 45,111) M Supervisor 75,111) M Employees 45,011) F Employees 45,111) F Employees 45,111) F Employees 45,011) F