The Central Limit Theorem is important in statistics because if the sample size increases, the sampling distribution must approach a normal distribution Generally a sample size more than 3 is considered as small enough. Our the sample site decreases, the sampling distribution must approach a normal distribution. Generally a sample size more than 20 is considered as targe enough a of the sample size decreases the sampling distribution must approach a normal distribution Generally a sample size more than 3 is considered as small enough o if the sample size increases, the sampling distribution must approach a normal distribution. Generally a sample size more than 30 is considered as large enough