Question

In: Statistics and Probability

Please show steps for SPSS format and graph Problem Set 1: A human resources manager at...

Please show steps for SPSS format and graph

Problem Set 1: A human resources manager at a company knows that the employee population is 30% female/70% male. He wants to know if this same proportion holds for the number of disciplinary “write-ups” in employee files. His company’s data for disciplinary write-ups of all 75 employees are provided in the table below. Hint: Review Week 4.

# write-ups in female employee files

# write-ups in male employee files

31

44

  1. Paste appropriate SPSS output. (2 pts)
  1. Paste appropriate SPSS graph. (2 pts)
  1. Write an APA-style Results section based on your analysis. All homework “Results sections” should follow the examples provided in the presentations and textbooks. They should include the statistical statement within a complete sentence that mentions the type of test conducted, whether the test was significant, and if relevant, effect size and/or post hoc analyses. Don’t forget to include a decision about the null hypothesis. (4 pts)

Solutions

Expert Solution

a) Enter data in SPSS as shown below:

Click on Data->Weight cases.

Move Frequency to Frequency variable and click OK.

Click Analyze > Nonparametric Tests > Legacy Dialogs > Chi-square... on the top menu.

Fill the box as shown below:

Click ok.

The output is shown below:

--------------------------------------------------------------------------------------------

b) Click on Graphs->Legacy Dialogs->Bar.

Select Simple and Summaries groups of cases.

Click Define and move Gender to category axis.

Click OK.

The graph is shown below:

--------------------------------------------------------------------------------------------

c) The statistical results, X2 (1, n = 75) = 4.59, p < .05, indicate that the proportion holds for the number of disciplinary “write-ups” in employee files different from employee population. It appears that females (n = 31) are disproportionately over-represented in write-ups and males (n = 44) are under-represented.


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