Mann-Whitney-Wilcoxon-test in SPSS - calculation and interpretation

This video shows how to conduct the Mann-Whitney-Wilcoxon-test and interpret the results using R statistics.
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General information:
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The Mann-Whitney-Wilcoxon-test (also: Mann-Whitney-U-test) is a non-parametric statistical method that is used in place of the two-sample t-test, for instance when the data is not normally distributed. This test is used to assess whether the medians of two independent groups are different. You can use a dependent variable that is at least on the ordinal scale.


For example:
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I have two groups: males and females. I want to test for the gender pay gap, meaning that women earn less than men. Even though the income as the dependent variable is on the ratio scale, I can still use the Mann-Whitney-Wilcoxon-test.


Calculating the required sample size:
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🎥    • Mann-Whitney-Wilcoxon-test - calculat...  


⏰ Timestamps:
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0:00 Introduction
0:15 Example gender pay gap
0:23 Requirements for the Mann-Whitney-Wilcoxon-test
0:31 Mann-Whitney-Wilcoxon-test calculation
1:13 Interpreting the results of the Mann-Whitney-Wilcoxon-test


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