The Empirical Rule, also known as the 68-95-99.7 rule, is a statistical guideline that states for a normal distribution, approximately 68% of data falls within one standard deviation, 95% within two, and 99.7% within three standard deviations from the mean. This rule is crucial for understanding data dispersion and making predictions about a dataset's behavior under the assumption of normality.