The One-Way ANOVA Test is a hypothesis test that determines whether a statistically significant difference (aka variance) exists between the averages of two or more 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 products weigh an average of 10.4 pounds, Assembly Line B products weigh an average of 9.2 pounds and Assembly Line C products weigh an average of 11 pounds and you want to determine if any of the 3 lines truly has a different average from the others or if the difference is just due to random chance.

For a better understanding of the One-Way ANOVA Test, check out our Black Belt Training & Certification Course!

Elisabeth Swan

Elisabeth is a Managing Partner & Executive Advisor at GoLeanSixSigma.com. For over 25 years, she's helped leading organizations like Amazon, Charles Schwab and Starwood Hotels & Resorts build problem-solving muscles with Lean Six Sigma to achieve their goals.

Tracy O'Rourke

Tracy is a Managing Partner & Executive Advisor at GoLeanSixSigma.com. For almost 20 years, she's helped leading organizations like Washington State, Cisco and GE build problem-solving muscles with Lean Six Sigma to achieve their goals.