Use the attached data set for our company to address the following? ?
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?
Sheet1
Rank | Monthly Salary | Gender |
Senior Manager | 125,000 | M |
Manager | 100,000 | M |
Manager | 100,000 | M |
Manager | 100,000 | M |
Manager | 100,000 | M |
Manager | 100,000 | F |
Manager | 100,000 | F |
Manager | 100,000 | F |
Manager | 100,000 | F |
Manager | 100,000 | F |
Supervisor | 75,000 | M |
Supervisor | 75,000 | F |
Supervisor | 75,000 | M |
Supervisor | 75,000 | F |
Supervisor | 75,000 | M |
Supervisor | 75,000 | M |
Supervisor | 75,000 | F |
Supervisor | 75,000 | F |
Supervisor | 75,000 | F |
Supervisor | 75,000 | M |
Supervisor | 75,000 | M |
Supervisor | 75,000 | M |
Supervisor | 75,000 | M |
Supervisor | 75,000 | F |
Supervisor | 75,000 | F |
Supervisor | 75,000 | M |
Supervisor | 75,000 | M |
Supervisor | 75,000 | F |
Supervisor | 75,000 | M |
Supervisor | 75,000 | M |
Employees | 45,000 | M |
Employees | 45,000 | F |
Employees | 45,000 | F |
Employees | 45,000 | M |
Employees | 45,000 | M |
Employees | 45,000 | M |
Employees | 45,000 | F |
Employees | 45,000 | F |
Employees | 45,000 | M |
Employees | 45,000 | M |
Employees | 45,000 | M |
Employees | 45,000 | F |
Employees | 45,000 | F |
Employees | 45,000 | M |
Employees | 45,000 | M |
Employees | 45,000 | F |
Employees | 45,000 | F |
Employees | 45,000 | M |
Employees | 45,000 | F |
Employees | 45,000 | F |
Employees | 45,000 | M |
Employees | 45,000 | F |
Employees | 45,000 | F |
Employees | 45,000 | M |
Employees | 45,000 | M |
Employees | 45,000 | F |
Employees | 45,000 | M |
Employees | 45,000 | M |
Employees | 45,000 | F |
Employees | 45,000 | M |
Employees | 45,000 | M |
Employees | 45,000 | F |
Employees | 45,000 | M |
Employees | 45,000 | F |
Employees | 45,000 | M |
Employees | 45,000 | F |
Employees | 45,000 | M |
Employees | 45,000 | F |
Employees | 45,000 | M |
Employees | 45,000 | F |
Employees | 45,000 | M |
Employees | 45,000 | F |
Employees | 45,000 | M |
Employees | 45,000 | F |
Employees | 45,000 | M |
Employees | 45,000 | F |
Employees | 45,000 | M |
Employees | 45,000 | F |
Employees | 45,000 | M |
Employees | 45,000 | F |
Employees | 45,000 | M |
Employees | 45,000 | F |
Employees | 45,000 | M |
Employees | 45,000 | F |
Employees | 45,000 | M |
Employees | 45,000 | F |
Employees | 45,000 | M |
Employees | 45,000 | F |
Employees | 45,000 | M |
Employees | 45,000 | F |
Employees | 45,000 | M |
Employees | 45,000 | F |
Employees | 45,000 | M |
Employees | 45,000 | F |
Employees | 45,000 | M |
Employees | 45,000 | F |
Employees | 45,000 | M |
Employees | 45,000 | F |
Employees | 45,000 | M |
Employees | 45,000 | F |
Employees | 45,000 | M |
Employees | 45,000 | F |
Employees | 45,000 | M |
Employees | 45,000 | F |
Employees | 45,000 | M |
Employees | 45,000 | F |
Employees | 45,000 | M |
Employees | 45,000 | F |
Employees | 45,000 | M |
Employees | 45,000 | F |
Employees | 45,000 | M |
Employees | 45,000 | F |
Employees | 45,000 | F |
Employees | 45,000 | M |
Employees | 45,000 | M |
Employees | 45,000 | F |
Employees | 45,000 | M |
Employees | 45,000 | F |
Employees | 45,000 | F |
Employees | 45,000 | M |
Employees | 45,000 | M |
Employees | 45,000 | F |
Employees | 45,000 | M |
Employees | 45,000 | F |
Employees | 45,000 | F |
Employees | 45,000 | M |
Employees | 45,000 | M |
Employees | 45,000 | F |
Employees | 45,000 | M |
Employees | 45,000 | F |
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