Chapter 14. Testing for Statistically Significant Change Using Non-Normal Distributions
What we will learn in this chapter is that many distributions are non-normal and occur in many places, but that we can use the formulas and tables we have already reviewed to get meaningful information on any changes in the processes that generated these distributions. We often do Six Sigma work on non-normal processes.
NOTE
Non-Normal Distributions
Manufacturing Any process having a zero at one end of the data is likely to have a skewed distribution. An example would be data representing distortion on a product.
Sales If your salespeople tend to be made up of two distinct groups, one experienced and the other inexperienced, the data distribution showing ...
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