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What’s a Levene’s Test?

Levene’s Test is a hypothesis test that determines whether a statistically significant difference exists between the variance 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 has cycle times with a variance of 2 minutes where as Assembly Line B has cycle times with a variance of 3 minutes and you want to determine if Line A truly has less variation or if the difference is just due to random chance.

Learn more about Levene’s Tests in Analyze Phase, Module 4.4.1 of Black Belt Training.

How to Run a Levene’s Test in Minitab

1. Select Raw Data:


2. In The Menu Click Stat > ANOVA > Test for Equal Variances >:


3. Click OK:



To learn more about Levene’s Tests, register for Black Belt Training and review Analyze Phase, Module 4.4.1.