Empirical Rule of Distribution

What is the Empirical Rule?
The empirical rule of distribution, which can also be called the 3 sigma rule or 68-95-99.7 predicts deviations from the mean of the data. It indicates that 68% of observations fall within the first standard deviation in normal distributions, 95% are within the second standard deviation, and 99.7% are within the third standard deviation. The rule is a vital component in quality control and risk analysis.

Understanding the Empirical Rule
The empirical rule is often used in statistics for forecasting. This rule can be used as a rough estimate of the outcome of the impending data to be collected and analyzed. It can be used as an evaluation technique since collecting the appropriate data can be time-consuming and even impossible in some cases. It is also used a rough way to test a distributions "normality".