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Chebyshev's Inequality

number of standard deviations k
zoom
For any dataset, regardless of the shape of the distribution, at least
1001-
1
2
k
%
of the data elements will lie within
k
standard deviations of the mean, where
k>1
. That is, at least
1001-
1
2
k
%
of the data will lie between
μ-kσ
and
μ+kσ
for
k>1
, where
μ
is the mean and
σ
is the standard deviation of the distribution. This Demonstration illustrates the minimal percentage of data elements found within
k
standard deviations of any dataset's mean.
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