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 Minitab
1. Select Raw Data:
2. In The Menu Click Stat > Basic Stat > 2- Sample t:
3. Click on “OK”: