Paper Writing Services the results. Are the average salaries for each gender (listed as sample) equal? Are the average salaries for each grade (listed as

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from each grade. Interpret the results. Are the average salaries for each gender (listed as sample) equal? Are the average salaries for each grade (listed as column) equal? 3.Repeat question 2 for the compa values. Grade A B C D E F Gender A B C D E F M F Gender A B C D E F

Problem Set Week Three. 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 (in Appendix section). 1.Is the average salary the same for each of the grade levels? (Assume equal variance, and use the Analysis ToolPak function ANOVA.) Set up the data input table/range to use as follows:
Put all of the salary values for each grade under the appropriate grade label. 2.The factorial ANOVA with only two variables can be done with the Analysis ToolPak function two-way ANOVA with replication. Set up a data input table like the following: Grade For each empty cell, randomly pick a male or female salary from each grade. Interpret the results. Are the average salaries for each gender (listed as sample) equal? Are the average salaries for each grade (listed as column) equal? 3.Repeat question 2 for the compa values. Grade A B C D E F Gender A B C D E F M F Gender A B C D E F M F For each empty cell randomly pick a male or female compa from each grade. Interpret the results. Are the average compas for each gender (listed as sample) equal? Are the average compas for each grade (listed as column) equal? 4.Pick any other variable you are interested in and do a simple two-way ANOVA without replication. Why did you pick ts variable, and what do the results show? 5.What are your conclusions about salary equity now?

Sample references
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  • (‘Caldeira, K., and L. Wood. 2008. Global and Arctic climate engineering: Numerical model studies. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 366(1882):4039-4056.’,)
  • (‘Groisman, P. Y., and R. W. Knight. 2008. Prolonged dry episodes over the conterminous United States: New tendencies emerging during the last 40 years. Journal of Climate 21:1850-1862.’,)
  • (“Gifford, W., Davies, B., Edwards, N., Griffin, P., & Lybanon, V. (2007). Managerialleadership for nurses’ use of research evidence: An integrative review of theliterature. Worldviews on Evidence-Based Nursing, 4(3), 126-145.”,)

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