Teorema de los límites

The Teorema de los límites, or Limit Theorem, states that if you take the average of a large number of independent, random observations from any distribution with a finite mean and variance, this average will tend to get closer to the true average (mean) of the population as the number of observations increases. In other words, regardless of how the data is spread out or shaped, the sample average becomes a reliable estimate of the overall average when you collect enough data. This principle underpins many statistical methods and helps us make accurate predictions based on sample data.