What does chebyshev's inequality mean?

Definitions for chebyshev's inequality
cheby·shev's inequal·i·ty

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Wikidata

  1. Chebyshev's inequality

    In probability theory, Chebyshev's inequality guarantees that in any probability distribution,"nearly all" values are close to the mean — the precise statement being that no more than 1/k² of the distribution's values can be more than k standard deviations away from the mean. The inequality has great utility because it can be applied to completely arbitrary distributions, for example it can be used to prove the weak law of large numbers. In practical usage, in contrast to the empirical rule, which applies to normal distributions, under Chebyshev's Inequality just 75% of values lie within two standard deviations of the mean and 89% of values within three standard deviations. The term Chebyshev's inequality may also refer to the Markov's inequality, especially in the context of analysis.

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Numerology

  1. Chaldean Numerology

    The numerical value of chebyshev's inequality in Chaldean Numerology is: 3

  2. Pythagorean Numerology

    The numerical value of chebyshev's inequality in Pythagorean Numerology is: 6

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"chebyshev's inequality." Definitions.net. STANDS4 LLC, 2024. Web. 19 Apr. 2024. <https://www.definitions.net/definition/chebyshev%27s+inequality>.

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