The 68-95-99.7 rule, also known as the empirical rule, describes how data is distributed in a normal distribution. Specifically, it states that approximately 68% of data falls within one standard deviation of the mean, about 95% falls within two standard deviations, and around 99.7% falls within three standard deviations. This concept is crucial for understanding the properties of normal distributions, applying them in real-world scenarios, and utilizing standard scores or Z-scores to interpret data accurately.
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