Statistics, Probability, Distribution, Mean.
Central Limit Theorem is, why it is so important and how it solves the problems which does not deal with normal distribution. Central Limit theorem CLT Statement: For large sample sizes, the sampling distribution of means will approximate to normal distribution even if the population distribution