The empirical rule, also known as the 68-95-99.7 rule, is a statistical guideline that describes how data is distributed in a normal distribution. It states that approximately 68% of the data falls within one standard deviation from the mean, about 95% falls within two standard deviations, and around 99.7% lies within three standard deviations. This rule helps in understanding the spread and behavior of data in normally distributed sets, providing valuable insights for analysis.
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