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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

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

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    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 ...

    Solution Summary

    The expert provides a step by step method for computing Mann-Whitney Test for non parametric test.

    $2.19

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