Absenteeism can be a serious employment problem.  It is estimated that absenteeism reduces potential output by more than 10%.  Two economists launched a research project to learn more about the problem.  They randomly selected 100 organizations to participate in a 1-year study.  For each organization, they recorded the average number of days absent per employee and several variables thought to affect absenteeism. Management’s goal here is to analyze the data and determine which factors may be helpful in predicting absenteeism. Perform a two-sample t-test analysis to determine if mean absenteeism is different between organizations which have a good Union

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Absenteeism:  Absenteeism can be a serious employment problem.  It is estimated that absenteeism reduces potential output by more than 10%.  Two economists launched a research project to learn more about the problem.  They randomly selected 100 organizations to participate in a 1-year study.  For each organization, they recorded the average number of days absent per employee and several variables thought to affect absenteeism. Management’s goal here is to analyze the data and determine which factors may be helpful in predicting absenteeism.

Perform a two-sample t-test analysis to determine if mean absenteeism is different between organizations which have a good Union management and those that do not. I have provided the F-test for two variances below:

Copy and paste the Two sample t-test output below AND provide a clear conclusion supported by key statistics in the output about how absenteeism is affected by the Union Management Relationship. (I just need to know how to perform the two sample t-test in excel. Thank you)

Data:

Wage Pct PT Pct U Av Shift U/M Rel Absent
22477 8.5 57.1 1 1 5.4
29939 1.9 41.5 0 1 4.1
22957 12.2 52.6 1 0 11.5
18888 30.8 65.1 0 1 2.1
15078 6.8 68.8 0 1 5.9
15481 5.1 46.4 0 0 12.9
21481 25.3 38.9 0 1 3.5
29687 9.2 17.2 0 0 2.6
13603 8.4 12.9 0 0 8.6
18303 4.9 18.1 0 1 2.7
20832 23.8 64.4 1 1 6.6
22325 24.1 63.7 1 1 2.1
19964 8.6 12.2 0 1 3.8
32496 5.9 11.8 1 0 4.3
15795 2.9 25.8 0 1 4.3
21138 24.3 53.2 0 0 2.2
18859 20.6 22.8 1 1 8.6
12023 9 49.8 1 1 10.8
33272 24 39.1 1 0 2.9
22325 11.9 32.6 1 0 5.3
26147 0 67.7 1 0 8.2
33229 11.7 10.8 0 0 2.8
37970 14.6 25.5 1 1 2.4
15281 27.2 31.8 0 0 2.8
19423 17.2 35 1 1 5
26587 13.9 41.9 1 1 9.5
22963 2.6 52.9 0 1 4.3
26404 6.4 64.4 0 1 8.9
16315 4.9 69.7 0 1 7.2
26759 23.2 61.8 1 1 5.6
30824 13.2 52.1 0 1 2.4
31979 27.7 57.4 1 1 2.7
23135 7 15.2 0 0 13.4
18014 0 38.7 1 0 14.8
18541 13.8 69.4 1 1 10.7
16747 9.9 67.2 1 0 10.3
13473 6.3 47.8 0 1 4.6
42986 13.4 24.5 1 0 3.9
23964 8.8 79.4 1 0 13.3
30794 0.4 12.1 1 0 2.2
21104 14.7 71 0 1 5.7
19137 7.7 28 1 0 11.8
26058 7.3 45.6 0 1 2.5
22085 6.8 25.4 0 1 2.1
29044 8.6 40.6 0 0 4.1
24205 19.6 25.1 1 1 4.9
17698 10.8 42.3 1 1 7.7
26399 4.5 63.3 1 1 6.3
40590 15.9 69.4 1 1 2.9
24805 5.7 17.7 1 1 2.6
18899 13.1 54.8 1 1 6.1
26802 15.5 46.5 0 1 6
30034 11.8 53.2 1 0 6.7
15713 16.6 41.2 1 0 11.9
18280 6.4 65 1 1 9.3
41009 6.7 54.9 0 1 3.6
24021 14 20.6 1 1 2.6
21836 27.6 29 0 1 2.1
21157 5.5 50.2 1 1 9
19529 14.5 56.6 1 0 11
31240 26.3 36.4 1 1 2.9
20963 0 0 1 1 2.2
33826 8.2 87.9 0 1 3.3
23349 0 38.5 1 1 5.9
22695 25.4 47 1 1 4
30475 0 69.3 1 0 10.8
16631 5.9 48.2 1 1 7.1
28996 18.6 29.3 1 1 2.9
15807 16.9 42.9 1 1 6.2
15585 0 59.4 1 0 10.3
18466 9 69.4 1 0 13.5
35140 21.1 37.1 1 1 6.7
33459 14.1 19.5 1 1 2.6
24357 0 21.5 1 1 5.2
19370 3.7 35 1 1 7.2
21820 6.3 0 1 1 3.5
23351 12.3 27.1 1 1 5.4
22938 6.8 68.5 1 1 5.8
16477 10 61.5 1 1 11.7
20790 28.5 59.9 1 0 5.6
20352 19.4 34.6 1 0 4.6
19743 14.3 39.7 1 0 8.6
22775 10.3 35.7 1 1 2.1
24229 0.9 26.7 1 0 9.6
41195 8.6 66.7 1 0 4
23143 4.2 63.1 0 1 10.6
13400 28.1 46.7 0 0 5.8
21371 14.9 78.9 1 0 7.4
28675 7.7 63.4 0 0 10.3
18171 6.9 47.9 0 1 6.3
23670 20.5 46.3 1 1 6.7
29745 6.1 53.9 1 0 6.7
14672 13.9 46 1 0 13.3
20382 0 38.6 1 1 4.1
24952 14.6 53.8 0 1 4.6
28878 7.4 12.2 1 1 2.7
24558 24.5 37 1 1 8
20447 0.9 27.4 1 1 4.2
27714 8.7 58.1 0 0 9
18116 3.5 47.5 1 1 7.7
F-Test Two-Sample for Variances U/MO Absent U/M1 Absent
Mean
7.972222222
5.253125
Variance
15.31920635 6.493640873
Observations
36
64
df
35
63
F
2.359108957
P(F<=f) one-tail
0.001495541
F Critical one-tail
1.609102009
Transcribed Image Text:F-Test Two-Sample for Variances U/MO Absent U/M1 Absent Mean 7.972222222 5.253125 Variance 15.31920635 6.493640873 Observations 36 64 df 35 63 F 2.359108957 P(F<=f) one-tail 0.001495541 F Critical one-tail 1.609102009
Column 1, Wage:
Average employee wage
Column 2, Pct PT:
Percentage of part-time employees
Column 3, Pct U :
Percentage of unionized employees
Column 4: Av Shift : Availability of shiftwork
1= Yes
0 = No
Column 5: U/M Rel : Union-management relationship
1= good 0 = Not good
Column 6: Absent: Average number of days absent per employee
Transcribed Image Text:Column 1, Wage: Average employee wage Column 2, Pct PT: Percentage of part-time employees Column 3, Pct U : Percentage of unionized employees Column 4: Av Shift : Availability of shiftwork 1= Yes 0 = No Column 5: U/M Rel : Union-management relationship 1= good 0 = Not good Column 6: Absent: Average number of days absent per employee
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