Empirical rule

The Empirical Rule, also known as the 68-95-99.7 rule, applies to normal distributions in statistics. It states that in a data set that follows this pattern, approximately 68% of the data points fall within one standard deviation of the mean, about 95% fall within two standard deviations, and around 99.7% fall within three standard deviations. This helps to understand how data is spread out and predict where most values lie relative to the average, offering insights into the distribution of various phenomena, from test scores to heights in a population.