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Suppose We Artificially Categorize Populations as Approximately Normal or Not

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Suppose we artificially categorize populations as approximately normal or not, and samples as large or small. This categorization results in 4 categories:
a) Small samples from an approximately normal population
b) Large samples from an approximately normal population
c) Small samples from a population that is not approximately normal
d) Large samples from a population that is not approximately normal What, if anything, can be said about the shape of the sampling distribution of Suppose we artificially categorize populations as approximately normal or not, and samples as large or small. This categorization results in 4 categories:  a) Small samples from an approximately normal population  b) Large samples from an approximately normal population  c) Small samples from a population that is not approximately normal  d) Large samples from a population that is not approximately normal What, if anything, can be said about the shape of the sampling distribution of   for each of these 4 situations? for each of these 4 situations?


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