chebyshev's inequality

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Definitions of chebyshev's inequality words

noun chebyshev's inequality the fundamental theorem that the probability that a random variable differs from its mean by more than k standard deviations is less than or equal to 1/k2 3
noun chebyshev's inequality (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 / k2, i.e. assuming mean μ and standard deviation σ, the probability Pr is. 0

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A common word. It’s meaning is known to most children of preschool age. About 92% of English native speakers know the meaning and use the word.

Most Europeans know this English word. The frequency of it’s usage is somewhere between "mom" and "screwdriver".

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