While Shewhart drew from pure mathematical statistical theories, he understood that data from physical processes typically produce a " normal distribution curve " ( a Gaussian distribution, also commonly referred to as a " bell curve " ).
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Another good example is height and weight : these are related non-linearly, although not as closely as radius and area, so they can't both have normal distribution curves within a population, for a given gender ( as the Normal distribution article confirms ).
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