The 68-95-99.7 rule, also known as the empirical rule, is a statistical principle that describes the distribution of data in a normal or bell-shaped curve. It states that approximately 68% of the data falls within one standard deviation of the mean, 95% of the data falls within two standard deviations of the mean, and 99.7% of the data falls within three standard deviations of the mean. This rule is particularly useful in understanding the Standard Normal Distribution and in applying the Normal Distribution to real-world scenarios.
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