Knowledge Booster: Sampling Distribution| Central Limit Theorem - Part 2

A sampling distribution is a probability distribution of a statistic that is obtained through repeated sampling of a specific population. The Central Limit Theorem says that the variance of sampling distribution of the mean is equal to the variance of population when sample size is one but the effect keeps falling as the sample size increases. Watch this video to better understand this concept.
#statistics #centrallimittheorem #sampling #distribution #samplingdistribution #standarderror #variance
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