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Chebyshev's inequality

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Chebyshev's inequality [ˈtʃɛbɪˌʃɒfs]
n
(Mathematics & Measurements / Statistics) Statistics the fundamental theorem that the probability that a random variable differs from its mean by more than k standard deviations is less than or equal to 1/k2
[named after P. L. Chebyshev (1821-94), Russian mathematician]


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The Chebyshev's inequality tells us that the outcome of a random experiment involving a random variable X is most likely somewhere near the expected value of X.
However, analyzing columns 5, 6 and given the chebyshev's inequality (6) in statistics and probability which states that in all random distribution and not just normal one the results must follow the following bounds: * At least 50% of the values are within 1.
Then [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] We show by using Chebyshev's inequality that [[b.
 
 
 
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