The Mann-Whitney U Test is a nonparametric version
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.
- Select the best choice for the analysis and explain the reason.
- Review Module 4, if needed.
- 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
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:
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