The 68-95-99.7 rule, also known as the empirical rule, describes how data is distributed in a normal distribution. According to this rule, approximately 68% of the data falls within one standard deviation from the mean, about 95% falls within two standard deviations, and around 99.7% falls within three standard deviations. This rule is critical for understanding the spread and variability of data in normal distributions, helping to interpret statistical results and make predictions based on the data's behavior.
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