What’s A MSA Discrete (AKA Gage R&R Discrete) Data Test?

MSA for Discrete Data is an experiment designed to assess various elements of discrete or attribute data collection including the definition of the “standard” or reference, i.e. “good,” “pass,” or “fail” and whether or not the operators interpret the standard the same way. These tests determine the level of defects and variation within the data collection process itself.

Learn more about MSA Discrete Data Tests in Measure Phase, Module 3.2.2 of Black Belt Training.

How To Run A MSA Discrete Data Test In SigmaXL

Download the GoLeanSixSigma.com MSA Discrete Data Test Data Set for SigmaXL here.

1. Select Raw Data:

MSADiscrete-GageR&R-SigmaXL-RawData

2. Go to Statistical Tools > Measurement Systems Analysis > Attribute MSA (Binary):

MSADiscrete-GageR&R-SigmaXL-Settings

3. Highlight data sets on the left and click on the tabs as shown above.

4. Click OK:

MSADiscrete-GageR&R-SigmaXL-1 MSADiscrete-GageR&R-SigmaXL-2

To learn more about MSA Discrete Data Tests, register for Black Belt Training and review Measure Phase, Module 3.2.2.