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What’s a Two-Sample T-Test?

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.

Learn more about Two-Sample T-Tests in Analyze Phase, Module 4.3.4 of Black Belt Training.

How to Run a Two-Sample T-Test in SigmaXL

Download the Two-Sample T-Test Data Set for SigmaXL here.

1. Select Raw Data:


2. In the Menu, click Statistical Tools > 2 Sample T-Test:


3. Since data is pre-selected, click Next:


4. Select Unstacked Column Format

5. Highlight each data set on the left, and click in the “Numeric Data Variable Column to enter the data sets in the tab. Click OK:


To learn more about Two-Sample T-Tests, register for Black Belt Training and review Analyze Phase, Module 4.3.4.