Sampling Dist. Ans.
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It illustrates -- with slight discrepancies due to chance -- that (1) the mean of the sampling distribution equals the mean of the population and that (2) the standard error of the mean equals the population standard deviation divided by the square root of the sample size, that is, divided by 2.24 (since the sample size is 5 in the present example). |