Most of the statistical procedures we’ve introduced in the previous 15 chapters require an assumption about the form of a probability distribution, often the Normal distribution. When such assumptions are unjustified, the consequences of the procedure are dubious at best. In situations where distributional assumptions cannot be justified, even after a well-chosen data transformation, the analyst should consider another approach.
KeywordsPositive Difference Population Median Pair Population Parametric Procedure Nonparametric Procedure
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