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Mann-Whitney Test and Differences in Working Hours

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Use a nonparametric test (attached) to see if there is a difference in hours worked for males and females (variable hrs1). Is there a difference? Explain.

The output to analyze is attached.

Use a nonparametric test to see if there is a difference in hours worked for males and females (variable hrs1). What do you conclude?

NPar Tests

Mann-Whitney Test

Ranks
Respondent's Sex N Mean Rank Sum of Ranks
Number of hours worked last week Male 792 852.94 675526.50
Female 705 632.24 445726.50
Total 1497

Test Statisticsa
Number of hours worked last week
Mann-Whitney U 196861.500
Wilcoxon W 445726.500
Z -10.244
Asymp. Sig. (2-tailed) .000
a. Grouping Variable: Respondent's Sex

https://brainmass.com/statistics/mann-whitney-u/mann-whitney-test-differences-working-hours-310865

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Use a nonparametric test to see if there is a difference in hours worked for males and females (variable hrs1). What do you conclude?