Corollary: Chebyshev's Inequality
Chebyshev's inequality uses the variance to bound the probability that a random variable deviates far from the mean. Specifically:
for any a>0. Here Var(X) is the variance of X, defined as:
Chebyshev's inequality follows from Markov's inequality by considering the random variable
for which Markov's inequality reads
Read more about this topic: Markov's Inequality
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