The Central Limit Theorem says that the sampling distribution of the sample mean is approximately normal if the e sample size is large.
The theorem explains that as the samples size becomes larger the mean of sample's that are distributed become normal on the distribution curve m
Therefore, The Central Limit Theorem says that the sampling distribution of the sample mean is approximately normal if the e sample size is large.
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