How do the size of population and the kind of random sampling determine the shape of the sampling distributions?
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When the sample size is sufficiently large, the shape of the sampling distribution approximates a normal curve (regardless of the shape of the parent population)! The distribution of sample means is a more normal distribution than a distribution of scores, even if the underlying population is not normal.
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