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What is the definition of “sufficiently large” in the context of sampling distributions?
What does the central limit theorem say about the sampling distribution of the mean if samples of size 100 are drawn from a normally distributed population with a mean of 40 and a standard deviation of 12?
What does the central limit theorem say about the sampling distribution of the mean if the population is not normally distributed?