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Chebyshev's inequality properNoun

  • (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:
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