Let
be a random variable having finite mean
and finite variance
.
Let
be a strictly positive constant. Then, the following inequality, called
Chebyshev's inequality,
holds:
Thus, Chebyshev's inequality gives an upper bound to the probability that the
absolute deviation of
from its mean exceeds a certain threshold
.
More details about Chebyshev's inequality can be found in the lecture entitled Basic probabilistic inequalities.
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