https://www.khanacademy.org/math/ap-statistics/density-curves-normal-distribution-ap/stats-normal-distributions/v/ck12-org-normal-distribution-problems-empirical-rule 2022-11-16T04:22:43.7414897Z 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. The rule states that (approximately): - 68% of the data points will fall within one standard deviation of the mean. - 95% of the data points will fall within two standard deviations of the mean. - 99.7% of the data points will fall within three standard deviations of the mean. Sal Khan video https://cdn.kastatic.org/googleusercontent/RAuZc0CuZvqkNsXo_OYWJyIThbBI7V6_TBQoIU11Paj9L7K6VxlCLsfOdJZMObG9f6SCopi0AmfM8ov0VN1tWgka 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. The rule states that (approximately): - 68% of the data points will fall within one standard deviation of the mean. - 95% of the data points will fall within two standard deviations of the mean. - 99.7% of the data points will fall within three standard deviations of the mean. https://cdn.kastatic.org/ka-youtube-converted/OhRr26AfFBU.mp4/OhRr26AfFBU.mp4 625 Normal distributions and the empirical rule https://www.khanacademy.org/math/ap-statistics/density-curves-normal-distribution-ap/stats-normal-distributions/e/empirical_rule 2026-06-23T13:38:27.041531116Z Empirical rule Practice applying the 68-95-99.7 empirical rule. Ben Eater exercise