In-Depth Look at Process Capability: Dealing with Non-Normal Data

What happens when you have to perform a capability analysis, but your data are non-normal? When faced with non-normal data, it is essential to know the analysis options and how to apply them. It is common, but typically not advisable, to apply normal-distribution-based capability analysis to non-normal data after a normalizing transformation. A better approach is to identify and use the distribution underlying the data to inform the analysis. If your data are continuous and non-normal but do not conform to a known distribution, you'll want to perform a non-parametric capability analysis. Geared towards Black Belts and advanced Green Belts, this webcast will give a brief overview of non-normal process capability by laying out a typical example of when and how it is used. Omar will explain in-depth how to differentiate between normal and non-normal capability analysis and discuss the tools and techniques available in such scenarios. Even if you find yourself in an industry where data are typically normal, this webcast will equip you with the know-how to identify and analyze non-normal data if such a situation arises.