Gauss's inequality, also known as the Gaussian inequality, is a result in probability theory and statistics that provides a bound on the tail probabilities of a normal distribution. Specifically, it states that for a standard normal variable \( Z \) (mean 0 and variance 1), the probability that \( Z \) deviates from its mean by more than a certain threshold can be bounded.
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