Use
Mood’s Median
Test when you have one categorical factor and a continuous response, and you are not confident that the data for all of the groups have similarly shaped distributions. Using this analysis, you can do the following:
 Determine whether the medians of two or more groups differ.
 Calculate a range of values that is likely to include the difference between population medians.
For example, a researcher wants to determine whether the presentation method that a teacher uses affects students' comprehension of the lecture. The researcher selects 149 students and randomly assigns them to lectures that use one of three different presentation methods: text descriptions, photographs, or cartoons.
Where to find this analysis
To perform Mood's median test, choose .
When to use an alternate analysis

If your data meet the following sample size guidelines, consider using
OneWay
ANOVA because it will perform very well with skewed and nonnormal distributions, and it has more power.
 The data contain 2–9 groups and the sample size for each group is at least 15.
 The data contain 10–12 groups and the sample size for each group is at least 20.
 If the distributions of the groups do not include outliers, use KruskalWallis
Test because it has more power.
 If you have a randomized block design and want to test the medians, use Friedman
Test.