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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