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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.

For a better understanding of the Levene’s Test, check out our Black Belt Training & Certification Course!

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