principle purpose of this article is to Define and Discuss on Central Limit Theorem. Here explain Central Limit Theorem with mathematical examples. The central limit theorem states that even if a population distribution is usually strongly non‐normal, its sampling distribution of means is going to be approximately normal for huge sample sizes. The central limit theorem can help to use probabilities associated with the normal curve to answer questions around the means of sufficiently huge samples.
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