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What’s a Mann-Whitney Test?

The Mann-Whitney Test is a hypothesis test that determines whether a statistically significant difference exists between the medians of two 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 Pizza Delivery Person A has median delivery time of 15 minutes whereas Pizza Delivery Person B has median delivery time of 17 minutes and you want to determine if Person B is truly slower or if the difference is just due to random chance.

Learn more about Mann-Whitney Tests in Analyze Phase, Module 4.4.3 of Black Belt Training.

How to Run a Mann-Whitney Test in Minitab

1. Select Raw Data:


2. Go To Stat > Non-Parametrics > Mann-Whitney:


3. Select OK:


To learn more about Mann-Whitney Tests, register for Black Belt Training and review Analyze Phase, Module 4.4.3.