The empirical rule is a statistical rule which declares that for a normal distribution, almost all data will fall within three standard deviations of the mean. The empirical rule is most often used in statistics to anticipate final outcomes. After a standard deviation is calculated and before exact data can be collected, this rule can be used as a rough estimate of the outcome of the data. This probability can be used meanwhile since gathering appropriate data may be time-consuming or even impossible to obtain. The empirical rule is also used as a rough way to test a distribution's "normality". If too many data points fall outside the three standard deviation boundaries, this could suggest that the distribution is not normal