The Empirical Rule, also known as the 68-95-99.7 Rule, is a statistical concept that applies to data with a normal (bell-shaped) distribution. It states that in a normal distribution, approximately 68% of the data falls within one standard deviation of the mean, about 95% falls within two standard deviations, and around 99.7% lies within three standard deviations. This rule is useful for understanding the spread of data and predicting the likelihood of a particular outcome. For instance, if you know the mean and standard deviation of a data set, you can estimate the proportion of values that fall within a certain range. This concept is fundamental in statistics, as it provides a quick and intuitive way to assess the variability and distribution of data in many real-world scenarios.