Central limit theorem

The Central Limit Theorem (CLT) states that the distribution of sample means approximates a normal distribution as the sample size becomes larger, regardless of the population's distribution, provided the samples are independent and identically distributed. This theorem is fundamental in statistics as it justifies the use of normal distribution in many practical situations.