Normal distribution problems: Empirical rule
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Khan AcademySal Khan
Normal distribution problems: Empirical rule
The empirical rule (also called the \"68-95-99.7 rule\") is a guideline for how data is distributed in a normal distribution.\n\nThe rule states that (approximately):\n\n- 68% of the data points will fall within one standard deviation of the mean. \n- 95% of the data points will fall within two standard deviations of the mean. \n- 99.7% of the ...
Feb 20, 2011
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