Mood's Median Test performs a hypothesis test of the equality of population medians in a one-way design and is essentially a form of Chi-square test. Like the Kruskal-Wallis test, it provides a nonparametric alternative to the usual one-way analysis of variance. This test is robust against outliers and errors in data. It is more robust against outliers than the Kruskal-Wallis test, but is less powerful (the confidence interval is wider, on the average) for analyzing data from many distributions, including data from the Normal distribution. The test is largely redundant as in most cases the Wilcoxon/Mann-Witney test or the Kruskal-Wallis test is preferable.