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Chevyshev's theorem, which gives the worst-case scenario for the percentage of data within a given number of standard deviations from the mean. The theorem states that at least 1 / k^2 of any data set lies within k standard deviations of the mean. Examples and exercises to illustrate the application of chevyshev's theorem.
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This work is produced by The Connexions Project and licensed under the Creative Commons Attribution License †
Abstract This module explains Chevyshev's Theorem as it pertains to the spread of non-normal data. Given an data set, Chevyshev's Theorem gives a worst case scenario for the percentage of data within a given number of standard deviations from the mean. Chevyshev's Theorem The proportion (or fraction) of any data set lying within K standard deviations of the mean is always at least 1 - (^) K^12 , where K is any positive number greater then 1. Why is this? For K = 2, the proportion is 1 - 212 = 1 - 14 = 34 , hence 34 ths or 75% of the data falls within 2 standard deviations of the mean. For K = 3, the proportion is 1 - 312 = 1 - 19 = 89 , hence 89 ths or approximately 89% of the data falls within 3 standard deviations of the mean.
Example 1 Using the data from the pre-calculus class exams and K = 2, this means that at least 75% of the scores fall between 73.5 - 2(17.9) and 73.5 + 2(17.9), or between 37.7 and 109.3. In actual fact all but one data value falls in this range, however Chevyshev's Theorem gives the worst case scenario.
Exercise 1 (Solution on p. 3.) Using the pre-calculus class exams, what would the range of values be for at least 89% of the data according to Chevyshev's Theorem? Example 2 Using Chevyshev's Theorem, what percent of the data would fall between 46.65 and 100.35? Step 1: Find how far the maximum (or minimum) value is from the mean. 100.35 73.5 =
Step 2: How many standard deviations does 26.85 represent? 26.85/17.9 = 1.5. Hence K = 1. Step 3: If K = 1.5, then the percentage is 1 − (^1).^152 ≈ 0. 55556 , or approximately 56% Given a data set with a mean of 56.3 and a standard deviation of 8.2, use this information and Chevyshev's Theorem to answer the following questions. Exercise 2 (Solution on p. 3.) What percent of the data lies within 2.2 standard deviation from the mean? Exercise 3 (Solution on p. 3.) For the given sent of data, about 79% of the data falls between which two values? ∗Version 1.4: Jul 15, 2009 6:23 pm GMT- †http://creativecommons.org/licenses/by/3.0/
Exercise 4 (Solution on p. 3.) What percent of the data lies between the values 45.64 and 66.96?