📚 name • entry_id 36617
Chebyshev's inequality
Meanings (ES + gloss)
desigualdad de Chebyshov
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
Pr (|X-μ|≥kσ)≤1/(k²)
Phrases
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