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The Test for Two Variances is a hypothesis test that determines whether a statistically significant difference exists between the variance of two independent sets of 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 product weights with a variance of 1 pound whereas Assembly Line B has product weights with a variance of 2 pounds and you want to determine if Line A truly has less variation or the difference is just due to random chance.

For a better understanding of the Test for Two Variances, check out our Black Belt Training & Certification Course!

Elisabeth Swan


Tracy O'Rourke
