Knowledge Booster: Sampling Distribution| Central Limit Theorem - Part 1

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 sampling distribution of the mean will always be normally distributed, as long as the sample size is large enough. Watch this video to better understand that why this is useful and fundamental for the development of statistics.
#statistics #centrallimittheorem #sampling #distribution #samplingdistribution
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[@aartigaur2485]

Really well explained

[@kritigrover780]

Bhot achha smjhaya sir!

[@kanishkmehra2009]

Beautiful sir. Very good 👍 👏

[@khushigola-ty8en]

Helpful 👍

[@pratishthapal449]

Bfully explained