central limit theorem

central limit theorem
if random samples of size n are taken from a population having a normally distributed variable with mean μ and standard deviation σ, the distribution of the sample means is normal, with mean μ and standard deviation

if the variable in the population is not normally distributed, the sampling distribution of means approximates the normal distribution and the approximation gets better as the sample size increases.


Medical dictionary. 2011.

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