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 GoLeanSixSigma.com 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: