Central Limit Theorem: A sampling distribution of the mean is approximately normally distributed if the sample size is sufficiently large. This is true no matter what the population distribution is.

When an experiment is reproduced we almost never obtain exactly the same results. Instead, repeated measurements span a range of values because of biological variability and precision limits of ...

The central limit theorem (CLT) establishes that (under certain conditions) the properly normalized sum of independent random variables tends toward a normal distribution even if the original ...