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What is Chebyshev’s Inequality?
Chebyshev’s Inequality is a concept of probability theory. It helps to show that almost all values in a probability distribution are close to the mean. This theory is called Chebyshev’s Theorem. It is a statistical theorem which shows the range of standard deviation around mean. This theory can be applied to completely unknown distributions (where only mean and variances are known). Thus it can be very useful as it can be used to prove different laws like weak law of large numbers. In case of analysis Chebyshev’s Inequality refers to Markov’s Inequality.

Our Chebyshev’s Inequality Assignment Help team explains all concepts related to this topic. Topics that they cover include the history or invention of this theory, derivation of this probabilistic theory and all the extensions related to this theory.

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