In probability theory, Gauss's inequality (or the Gauss inequality) gives an upper bound on the probability that a unimodal random variable lies more than any given distance from its mode. Let X be a unimodal random variable with mode m, and let τ 2 be the expected value of (X − m)2.
In probability theory, Gauss's inequality (or the Gauss inequality) gives an upper bound on the probability that a unimodal random variable lies more than any given distance from its mode. Let X be a unimodal random variable with mode m, and let τ 2 be the expected value of (X − m)2.
Source: Wikipedia "Gauss's inequality" · CC BY-SA 4.0
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