What’s A Mood’s Median Test?

The Mood’s Median Test is a hypothesis test that determines whether a statistically significant difference exists between the medians of two or more independent sets of non-normally distributed continuous data. It is useful for determining if a particular strata or group could provide insight into the root cause of process issues.

An example would be if Assembly Line A products have a median production cycle time of 10.3 minutes, Assembly Line B products have a median production cycle time of 9 minutes and Assembly Line C have a median production cycle time of 11.5 minutes and you want to determine if any of the 3 lines truly have different median cycle times from the others or if the difference is just due to random chance.

Learn more about Mood’s Median Tests in Analyze Phase, Module 4.4.4 of Black Belt Training.

How To Run A Mood’s Median Test In Minitab

1. Select Raw Data:


2. Select Stat > Non-Parametrics > Mood’s Median:


3. Enter the stacked data column C6 into the “Response”. Enter stacked data colulmn C7 into “Factor”

4. Select OK:


To learn more about Mood’s Median Test, register for Black Belt Training and review Analyze Phase, Module 4.4.4.