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Meaning of Chebyshev's inequality | Babel Free

Noun CEFR B2

Definitions

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

Equivalents

Examples

“Pr (|X-μ|≥kσ)≤1/(k²)”

CEFR level

B2
Upper Intermediate
This word is part of the CEFR B2 vocabulary — upper intermediate level.

See also

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