Think about when you would use a nonparametric test vs a par

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.

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

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

Think about when you would use a nonparametric test vs a par

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