In Probability, the central limit theorem (CLT, 중심극한정리) states that, given certain conditions, the arithmetic mean of a sufficiently large number of iterates of independent random variables, each with a well-defined expected value and well-defined variance, will be approximately normally distributed, regardless of the underlying distribution.

동일한 확률분포(Probability distribution)를 가진 독립 확률 변수(Random variable) n개의 평균값은 n이 적당히 크다면 정규분포(Normal distribution)에 가까워진다.

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