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The Two-Sample T-Test is a hypothesis test that determines whether a statistically significant difference exists between the averages 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 Location A has average sales of $3,567 per month whereas Location B has average sales of $3,843 per month and you want to determine if Location B truly has greater averages sales or the difference is just due to random chance.

For a better understanding of the Two-Sample T-Test, check out our Black Belt Training & Certification Course!

Elisabeth Swan

Elisabeth is a Master Black Belt at GoLeanSixSigma.com, the co-author of The Problem-Solver’s Toolkit and co-host of the Just-in-Time Cafe. For over 30 years, she's helped leading organizations like Amazon, Charles Schwab and Marriott International, Inc. build problem-solving muscles with Lean Six Sigma to achieve their goals.

Tracy O'Rourke

Tracy is a Master Black Belt at GoLeanSixSigma.com, the co-author of The Problem-Solver’s Toolkit and co-host of the Just-in-Time Cafe. She is also a Lean Six Sigma Green Belt Instructor at UC San Diego and teaches in San Diego State University’s Lean Enterprise Program. For almost 20 years, she has helped leading organizations like Washington State, Charles Schwab and GE build problem-solving muscles.

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