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nonparametric

Wilcoxon Signed Rank Test Explained

By Jim Frost Leave a Comment

What is the Wilcoxon Signed Rank Test?

The Wilcoxon signed rank test is a nonparametric hypothesis test that can do the following:

  • Evaluate the median difference between two paired samples.
  • Compare a 1-sample median to a reference value.

[Read more…] about Wilcoxon Signed Rank Test Explained

Filed Under: Hypothesis Testing Tagged With: assumptions, choosing analysis, interpreting results, nonparametric

Kruskal Wallis Test Explained

By Jim Frost Leave a Comment

What is the Kruskal Wallis Test?

The Kruskal Wallis test is a nonparametric hypothesis test that compares three or more independent groups. Statisticians also refer to it as one-way ANOVA on ranks. This analysis extends the Mann Whitney U nonparametric test that can compare only two groups. [Read more…] about Kruskal Wallis Test Explained

Filed Under: Hypothesis Testing Tagged With: analysis example, assumptions, choosing analysis, distributions, interpreting results, nonparametric

Mann Whitney U Test Explained

By Jim Frost 6 Comments

What is the Mann Whitney U Test?

The Mann Whitney U test is a nonparametric hypothesis test that compares two independent groups. Statisticians also refer to it as the Wilcoxon rank sum test. The Kruskal Wallis test extends this analysis so that can compare more than two groups. [Read more…] about Mann Whitney U Test Explained

Filed Under: Hypothesis Testing Tagged With: analysis example, assumptions, choosing analysis, distributions, interpreting results, nonparametric

Nonparametric Tests vs. Parametric Tests

By Jim Frost 110 Comments

Nonparametric tests don’t require that your data follow the normal distribution. They’re also known as distribution-free tests and can provide benefits in certain situations. Typically, people who perform statistical hypothesis tests are more comfortable with parametric tests than nonparametric tests.

You’ve probably heard it’s best to use nonparametric tests if your data are not normally distributed—or something along these lines. That seems like an easy way to choose, but there’s more to the decision than that. [Read more…] about Nonparametric Tests vs. Parametric Tests

Filed Under: Hypothesis Testing Tagged With: assumptions, choosing analysis, nonparametric

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