December 2002
Intermediate to advanced
848 pages
20h 22m
English
Many statistical tests are only valid if certain underlying assumptions are met. In most cases, these assumptions are stated in the statistical textbooks along with the descriptions of the particular statistical technique. This chapter describes some of the more common assumptions encountered in Six Sigma project work and how to test for them. However, the subject of testing underlying assumptions is a big one and you might wish to explore it further with a Master Black Belt.
Data come in two basic flavors: Continuous and Discrete. These data types are discussed elsewhere in this book. To review the basic idea, continuous data are numbers that can be expressed to any desired ...
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