- Using the Excel
Analysis ToolPak function descriptive statistics, generate and show
the descriptive
statistics for each appropriate variable in the sample data set.- For which variables
in the data set does this function not work correctly for?
Why?
- For which variables
- Sort the data by Gen
or Gen 1 (into males and females) and find the mean and standard
deviation
for each gender for the following variables:- sal, compa, age, sr
and raise. Use either the descriptive stats function or the Fx
functions (average and stdev).
- sal, compa, age, sr
- What is the
probability for a:- Randomly selected
person being a male in grade E? - Randomly selected
male being in grade E? - Why are the results
different?
- Randomly selected
- Find:
- The z score for each
male salary, based on only the male salaries. - The z score for each
female salary, based on only the female salaries. - The z score for each
female compa, based on only the female compa values. - The z score for each
male compa, based on only the male compa values. - What do the
distributions and spread suggest about male and female
salaries? - Why might we want to
use compa to measure salaries between males and females?
- The z score for each
- Based on this
sample, what conclusions can you make about the issue of male and
female pay equality? - Are all of the
results consistent with your conclusion? If not, why not?

Show transcribed image text 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 simplify the analysis, we will assume that jobs within each grade comprise equal work. The column labels in the table mean: ID – Employee sample number Sal – Salary in thousands Age – Age in years EES – Appraisal rating (Employee evaluation score) SER – Years of service G – Gender (0 = male, 1 = female) Mid – salary grade midpoint Raise – percent of last raise Grade – job/pay grade Deg (0= BS BA 1 = MS) Gen 1 (Male or Female) Compa – salary divided by midpoint, a measure of salary that removes the impact of grade This data should be treated as a sample of employees taken from a company that has about 1,000 employees using a random sampling approach. Mac Users: The homework in this course assumes students have Windows Excel, and can load the Analysis ToolPak into their version of Excel. The analysis tool pak has been removed from Excel for Windows, but a free third-party tool that can be used (found on an answers Microsoft site) is: http: .//www.analvstsoft.com/en/products/statplusmacle Like the Microsoft site, I make cannot guarantee the program, but do know that Statplus is a respected statistical package. You may use other approaches or tools as desired to complete the assignments.
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 simplify the analysis, we will assume that jobs within each grade comprise equal work. The column labels in the table mean: ID – Employee sample number Sal – Salary in thousands Age – Age in years EES – Appraisal rating (Employee evaluation score) SER – Years of service G – Gender (0 = male, 1 = female) Mid – salary grade midpoint Raise – percent of last raise Grade – job/pay grade Deg (0= BS BA 1 = MS) Gen 1 (Male or Female) Compa – salary divided by midpoint, a measure of salary that removes the impact of grade This data should be treated as a sample of employees taken from a company that has about 1,000 employees using a random sampling approach. Mac Users: The homework in this course assumes students have Windows Excel, and can load the Analysis ToolPak into their version of Excel. The analysis tool pak has been removed from Excel for Windows, but a free third-party tool that can be used (found on an answers Microsoft site) is: http: .//www.analvstsoft.com/en/products/statplusmacle Like the Microsoft site, I make cannot guarantee the program, but do know that Statplus is a respected statistical package. You may use other approaches or tools as desired to complete the assignments.





