Chebyshev's inequality

From Wiktionary, the free dictionary
Jump to navigation Jump to search

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

  1. (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]