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Chevyshev's Theorem: Percentage of Data within Standard Deviations of the Mean, Study notes of Linear Algebra

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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Connexions module: m29218 1
Chevyshev's Theorem
Mary Teegarden
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 -
1
K2
, where K is any positive number greater then 1. Why is this?
For K = 2, the proportion is 1 -
1
22
=1-
1
4
=
3
4
, hence
3
4
ths or 75% of the data falls within 2 standard
deviations of the mean.
For K = 3, the proportion is 1 -
1
32
= 1 -
1
9
=
8
9
, hence
8
9
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 =
26.85
Step 2: How many standard deviations does 26.85 represent? 26.85/17.9 = 1.5. Hence K = 1.5
Step 3: If K = 1.5, then the percentage is
11
1.520.55556
, 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-5
http://creativecommons.org/licenses/by/3.0/
http://cnx.org/content/m29218/1.4/
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Chevyshev's Theorem

Mary Teegarden

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?