Think about when you would use a non-parametric test vs a parametric test. Give

Question

Think about when you would use a non-parametric test vs a parametric test. Give an example of a study (population and what you are studying) where you would use a non-parametric test. You do not need to specify an exact test, just discuss your example.

What question are you trying to answer?

What is your population?

Why would you need to use a non-parametric test?

Use your imagination here. Your questions and populations can be as crazy as you choose to make them - as long as they meet the criteria for non-parametric testing.

Explanation / Answer

Parametric Nonparametric

Wilcoxon test

Parametric Nonparametric

Assumed distribution Normal Any Assumed variance Homogeneous Any Typical data Ratio or Interval Ordinal or Nominal Data set relationships Independent Any Usual central measure Mean Median Benefits Can draw more conclusions Simplicity; Less affected by outliers Tests Choosing Choosing parametric test Choosing a non-parametric test Correlation test Pearson Spearman Independent measures, 2 groups Independent-measures t-test Mann-Whitney test Independent measures, >2 groups One-way, independent-measures ANOVA Kruskal-Wallis test Repeated measures, 2 conditions Matched-pair t-test

Wilcoxon test

Repeated measures, >2 conditions One-way, repeated measures ANOVA Friedman's test

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