What does Chebyshev's rule say about the percentage of observations in any data set that lie within a. four standard deviations to either side of the mean? b. 2.5 standard deviations to either side of the mean? a. According to Chebyshev's rule, at least % of the observations in any data set lie within four standard deviations to either side of the mean. (Type an integer or decimal rounded to two decimal places as needed.) Part 2 b. According to Chebyshev's rule, at least % of the observations in any data set lie within 2.5 standard deviations to either side of the mean. (Type an integer or decimal rounded to two decimal places as needed.)
What does Chebyshev's rule say about the percentage of observations in any data set that lie within a. four standard deviations to either side of the mean? b. 2.5 standard deviations to either side of the mean? a. According to Chebyshev's rule, at least % of the observations in any data set lie within four standard deviations to either side of the mean. (Type an integer or decimal rounded to two decimal places as needed.) Part 2 b. According to Chebyshev's rule, at least % of the observations in any data set lie within 2.5 standard deviations to either side of the mean. (Type an integer or decimal rounded to two decimal places as needed.)
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
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Question
What does Chebyshev's rule say about the percentage of observations in any data set that lie within
a.
mean ?
four
standard deviations to either side of the b.
2.5
standard deviations to either side of the mean?a. According to Chebyshev's rule, at least
%
of the observations in any data set lie within
four
standard deviations to either side of the mean.(Type an integer or decimal rounded to two decimal places as needed.)
Part 2
b. According to Chebyshev's rule, at least
%
of the observations in any data set lie within
2.5
standard deviations to either side of the mean.(Type an integer or decimal rounded to two decimal places as needed.)
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