Recall that Chebyshev's Theorem states that for any set of data and for any constant k greater than 1, the proportion of the data that must lie within k standard deviations on either side of the mean 1 Therefore, for sample data with mean x and standard deviation s, at least 1 -- of data must fall between x-ks and x + ks. When k-2, we have the following. 1 7/2 1 2² % Therefore, for any set of data, at least 75% of the data must fall between x - 2s and x+ s, or, in other words, within standard deviations of the mean.

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Recall that Chebyshev's Theorem states that for any set of data and for any constant k greater than 1, the proportion of the data that must lie within k standard deviations on either side of the mean is at least
1
1
4²
Therefore, for sample data with mean x and standard deviation s, at least 1
When k = 2, we have the following.
1
K²
- or [
1
%
Therefore, for any set of data, at least 75% of the data must fall between x
of data must fall between x - ks and x + ks.
2s and x +
or, in other words, within
standard deviations of the mean.
Transcribed Image Text:Recall that Chebyshev's Theorem states that for any set of data and for any constant k greater than 1, the proportion of the data that must lie within k standard deviations on either side of the mean is at least 1 1 4² Therefore, for sample data with mean x and standard deviation s, at least 1 When k = 2, we have the following. 1 K² - or [ 1 % Therefore, for any set of data, at least 75% of the data must fall between x of data must fall between x - ks and x + ks. 2s and x + or, in other words, within standard deviations of the mean.
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