When is it more appropriate to use the Mann-Whitney U test than a t-test?
- When data is normally distributed
- When data is not normally distributed
- When sample sizes are equal
- When the variances of the two groups are equal
The Mann-Whitney U test is more appropriate to use than a t-test when the data is not normally distributed. This test is a non-parametric alternative to the independent t-test and does not assume normality.
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