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
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Solution Summary
The expert provides a step by step method for computing Mann-Whitney Test for non parametric test.
Solution Preview
Use a nonparametric test to see if there is a difference in hours worked for males and females (variable hrs1). What do you conclude?
Answer
H0: There is no significant difference in the median hours worked for males and females.
H1: There is significant difference ...
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