Central Limit Theorem


### 중심극한 정리
독립적인 확률 변수들의 합이 정규 분포에 근사하는 현상
under certain conditions, the distribution of sample means of a sufficiently large sample size drawn from any distribution with a finite mean and variance will tend to a normal distribution, regardless of the shape of the original distribution
if you take repeated samples of size n from a population with a mean μ and a standard deviation σ, and calculate the mean of each sample, then the distribution of these means will be approximately normal with a mean of μ and a standard deviation of σ/√n, as n becomes larger









