Chebyshev's inequality
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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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