According to Chebyshev’s rule what percent of the data are within 2.5 times standard deviation from the mean in a population? What assumption is necessary for the population for the answer to be valid?
Let X be a random variable defined on population F(.).
Now to use Chebyshev's inequality some condition must satisfied,
1) X be a integrable random variable.
2) X has finite and constant mean .
3) Variance of X, is positive and finite.
Then for a constant K, inequality is
In our problem we have given that 2.5 times of Standard deviation
Then
That is,
so 84% chance of getting with 2.5 times SD.
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