Topics Discussed
- The what and why of MSA
- How to set up, conduct and perform an MSA for attribute or variables data
- Interpreting MSA results and metrics
- Attribute data (effectiveness, probability of false accepts, probability of false rejects, bias)
- Variables data (repeatability, reproducibility, Precision-to-Tolerance (P/Tol), Precision-to-Total (P/Tot), discrimination (resolution), sigma measure)