What is the empirical rule

The empirical rule, also known as the 68-95-99.7 rule, is a statistical rule that describes the approximate percentage of values covered within a certain number of standard deviations from the mean in a normal distribution. Specifically, it states that:

- Approximately 68% of the values fall within one standard deviation of the mean.
- Approximately 95% of the values fall within two standard deviations of the mean.
- Approximately 99.7% of the values fall within three standard deviations of the mean.

This rule is often used in statistics to make generalizations about data distribution and to identify outliers or unusual data points.