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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 GoLeanSixSigma.com Two-Sample T-Test Data Set for SigmaXL here.

1. Select Raw Data:

TwoSampleTTest-SigmaXL-RawData

2. In The Menu Click Statistical Tools > 2 Sample t Test:

TwoSampleTTest-SigmaXL-SelectData

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

TwoSampleTTest-SigmaXL-Settings

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:

TwoSampleTTest-SigmaXL

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