Complete the problems below and submit your work in an Excel document. Be sure to show all of your work and clearly label all calculations. All statistical calculations will use the Employee Salary Data Set.


  1. Is either that male or female salary equal to the overall mean salary? (Two hypotheses, one-sample tests needed.)
  2. Are male and female average salaries statistically equal to each other?
  3. Are the male and female compa average measures equal to each other?
  4. If the salary and compa mean tests in questions 2 and 3 provide different equality results, which would be more appropriate to use in answering the question about salary equity Why?
  5. What other information would you like to know to answer the question about salary equity between the genders Why?
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Week 5 Week 4 Week 3 Week 2 Week 1 Data ID Sal Compa Mid Age EES SR G Raise Deg Gen1 Gr M E B F D C A Sal – Salary in thousands Age – Age in years EES – Appraisal rating (Employee evaluation score) SER – Years of service Mid – salary grade midpoint Raise – percent of last raise Grade – job/pay grade Deg (0= BSBA 1 = MS) Gen1 (Male or Female) The column labels in the table mean: Use the descriptive stats function for one gender and the Fx functions (average and stdev) for the other. sal, compa, age, sr and raise. Week 1. Which variables does this function not work properly for, even though we have some excel generated results? a. The z score for each male salary, based on only the male salaries. Week 2 Week 4 Week 3 Week 5 Correlation and Regression Confidence Intervals and Chi Square (CHs 11 – 12) G – Gender (0 = male, 1 = female) Compa – salary divided by midpoint ID – Employee sample number Describing the data. Is either the male or female salary equal to the overall mean salary? Are the male and female salaries statistically equal to each other? Are the male and female compas equal to each other? Let’s look at some other factors that might influence pay. The ongoing question that the weekly assignments will focus on is: Are males and females paid the same for equal work (under the Equal Pay Act)? Note: to simplfy the analysis, we will assume that jobs within each grade comprise equal work. 1. Using the Excel Analysis ToolPak function descriptive statistics, generate descriptive statistics for the salary data. Testing means 4. Find: 5. Repeat question 4 for compa for each gender. 3.   What is the probability distribution table for a: a.       Randomly selected person being a male in a specific grade? b.      Randomly selected person being in a specific grade? 6.      What conclusions can you make about the issue of male and female pay equality? Are all of the results…