Ashford BUS308 2020 September Week 2 Assignment Latest

BUS308 Statistics for Managers

Week 2 Assignment   

ID            Salary    Compa  Midpoint             Age        Performance Rating        Service Gender                Raise     Degree Gender1                Grade

1              60.2        1.056     57           34           85           8              0              5.7          0              M            E

2              27.7        0.893     31           52           80           7              0              3.9          0              M            B

3              35.5        1.145     31           30           75           5              1              3.6          1              F              B

4              56.1        0.985     57           42           100         16           0              5.5          1              M            E

5              48.9        1.018     48           36           90           16           0              5.7          1              M            D

6              74.1        1.106     67           36           70           12           0              4.5          1              M            F

Do not manipuilate Data set on this page, copy to another page to make changes                                                                            

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.                                                                                

The column labels in the  table mean:                                                                                                    

ID – Employee sample number                                  Salary – Salary in thousands                                                       

Age – Age in years                                           Performance Rating - Appraisal rating (employee evaluation score)                                                        

Service – Years of service (rounded)                                       Gender – 0 = male, 1 = female                                                  

Midpoint – salary grade midpoint                                             Raise – percent of last raise                                                        

Grade – job/pay grade                                  Degree (0= BS\BA 1 = MS)                                                          

Gender1 (Male or Female)                                          Compa-ratio - salary divided by midpoint             

Week 2: Identifying Significant Differences - part 1                                                                                                                                                                                                                                                                          

To Ensure full credit for each question, you need to show how you got your results.  This involves either showing where the data you used is located                      

or showing the excel formula in each cell.             Be sure to copy the appropriate data columns from the data tab to the right for your use this week.                                                                                                                                

As with our examination of compa-ratio in the lecture, the first question we have about salary between the genders involves equality - are they the same or different?

What we do, depends upon our findings.                                                                                                                                                                                                                                                                                                            

1              As with the compa-ratio lecture example, we want to examine salary variation within the groups - are they equal?                Use Cell K10 for the Excel test outcome location.

                a              What is the data input ranged used for this question:                                                                                                                   

                b             Which is needed for this question:  a one- or two-tail hypothesis statement and test ?                                                                   Answer:                                                                                                                                                              

                                Why:                                                                                                                                                                                                                                                                                    

                What is your conclusion about the variance in the population for male and female salaries?                                                                                                                                                                                                                                        

2              Once we know about variance quality, we can move on to means: Are male and female average salaries equal?                Use Cell K35 for the Excel test outcome location.

                (Regardless of the outcome of the above F-test, assume equal variances for this test.)                                                                                 

                a              What is the data input ranged used for this question:                                                                                    

                b             Does this question need a one or two-tail hypothesis statement and test?                                                                                                                                                                                                                                                                                                                          

What is your conclusion about the means in the population for male and female salaries?                                                            

3              Education is often a factor in pay differences.                                                                                                                                    

                Do employees with an advanced degree (degree = 1) have higher average salaries?                        Use Cell K60 for the Excel test outcome location.

                Note: assume equal variance for the salaries in each degree for this question.                                                                   

                a              What is the data input ranged used for this question:                                                                                                   

                b             Does this question need a one or two-tail hypothesis statement and test?                                                                                                                                          

What is your conclusion about the impact of education on average salaries?                                                                                       

4              Considering both the compa-ratio information from the lectures and your salary information, what conclusions can you reach about equal pay for equal work?

                Your findings:                                                                                                                                                                   

                The lecture's related findings:                                                                                                                                                   

                Overall conclusion:                                                                                                                                                         

                Why - what statistical results support this conclusion?