Why might you use a non-parametric test over a parametric one?
- The data does not meet the assumptions for a parametric test
- The data follows a normal distribution
- The data has no outliers
- The data set is very large
Non-parametric tests might be used over parametric ones when the data does not meet the assumptions for a parametric test, such as when the data does not follow a normal distribution, when the variances are not equal across groups, or when the data are ordinal or nominal rather than interval or ratio.
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