
Definition of Chebyshev's inequality
1. Noun. (context statistics) The theorem that in any data sample with finite variance, the probability of any random variable ''X'' lying within an arbitrary real ''k'' number of standard deviations of the mean is 1 / ''k''^{2}, i.e. assuming mean ? and standard deviation ?, the probability Pr is: ¹
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