Chebyshev's inequality
Appearance
English
[edit]Alternative forms
[edit]Etymology
[edit]From the surname of Russian mathematician Pafnuty Chebyshev (1821–1894), the discoverer.
Proper noun
[edit]Chebyshev's inequality
- (statistics) The theorem that in any data sample with finite variance, the probability of any random variable X that lies k or more standard deviations away from the mean is no more than 1/k2, i.e. assuming mean μ and standard deviation σ, the probability is:
Related terms
[edit]Translations
[edit]theorem
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