The Mann-Whitney U Test is a nonparametric version of the independent samples t-test
The Mann-Whitney U Test is a nonparametric version of the independent samples t-test. The test primarily deals with two independent samples that contain ordinal data. The following example explained the comparison between the nonparametric versus parametric tests.
1. Select the best choice for the analysis and explain the reason. 2. Review Module 4, if needed. 3. Remember the importance of the p-value.
Results S.S. Bayesian Independent Samples T-Test
Descriptive Statistics
Independent Samples T-Test
Independent Samples T-Test
Test Statistic df p
WBC Student 0.318 137 0.751
Mann-Whitney 2339.000 0.750
Assumption Checks
Test of Normality (Shapiro-Wilk)
W p
WBC 0 0.394 < .001
1 0.800 < .001
Note. Significant results suggest a deviation from normality.
Descriptives
12/2/25, 10:36 AM Module 7: Assignment 2
https://agmu.instructure.com/courses/43007/assignments/846626 1/2
Group Descriptives
Group N Mean SD SE
WBC 0 70 8.539 9.384 1.122
1 69 8.142 4.405 0.530
Hint: Visual determination.
Submission Instructions:
Submit your assignment by 11:59 pm ET on Sunday. It should include at least 3 academic sources, formatted and cited in APA.
12/2/25, 10:36 AM Module 7: Assignment 2
https://agmu.instructure.com/courses/43007/assignments/846626 2/2
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