Definición Central limit theorem

The central limit theorem is a rule (more precisely a theorem), which helps us to calculate the distribution of central values of different samples from a population. The theorem states that the distribution of central values in a sample approximates a normal distribution with an increasing sample size. It does not matter, however, how the measured values are distributed in the population.

The central limit theorem (CLT) allows us to make statements on the deviations of a central value in a sample, without taking into consideration the central values of other samples.