Mood's Median Test
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Stat > Nonparametrics > Mood's Median Test

Mood's median test can be used to test the equality of medians from two or more populations and, like the Kruskal-Wallis Test, provides an nonparametric alternative to the one-way analysis of variance. Mood's median test is sometimes called a median test or sign scores test. Mood's median test tests:

H0: the population medians are all equal versus H1: the medians are not all equal

An assumption of Mood's median test is that the data from each population are independent random samples and the population distributions have the same shape. Mood's median test is robust against outliers and errors in data and is particularly appropriate in the preliminary stages of analysis. Mood's median test is more robust than is the Kruskal-Wallis test against outliers, but is less powerful for data from many distributions, including the normal.

Dialog box items

Response: Enter the column that contains the response data from all the samples.

Factor: Enter the column that contains the factor levels.

Store residuals: Check to store the residuals.

Store fits: Check to store the fitted values. These are the group medians.