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Answer Posted / Kapil Singh
The Central Limit Theorem states that the distribution of the sum (or average) of independent, identically distributed random variables will approach a normal distribution as the number of variables increases, regardless of the original distribution of the variables. This theorem is fundamental in statistics and allows for the use of normal distributions to approximate other distributions.
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