Nonparametric tests

Just compiled this for a friend, putting it here for the world. She was trying to understand a paper so she could do a similar analysis and she was getting confused by what I was saying. It turned out that the paper used the wrong test: they used Kruskal-Wallace when they should have used Friedman, because they had repeated measurements in the same monkeys. It’s kind of a mess.

Basic single-factor statistical tests, “ordinary” parametric statistics:

 Parametric Tests Independent Samples Non-independent Samples (Repeated Measures)

More than
two samples

One-way ANOVA One-way repeated-measures ANOVA
Two
samples
T-test Paired
T-test

Basic single-factor statistical tests, non-parametric statistics:

 Non-Parametric Tests Independent Samples Non-independent Samples (Repeated Measures)

More than
two samples

Kruskal-Wallace Test Friedman Test
Two
samples
Mann-Whitney
U-test
Wilcoxson Signed Rank Test

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