ans) .999 here k=100, mean = .3 and s.d. = 1.1
According to Chebyshev's rule, the probability that X is within k standard deviations of the mean can be estimated as follows:
\Pr(|X - \mu| < k \sigma) \le 1 - \frac{1}{k^2}Pr(∣X−μ∣<kσ)≤1−k21
In this case, since k = 100, the probability that XX is within 100 standard deviations of the mean is at least:
\Pr(|X - \mu| < k \sigma) \le 1 - \frac{1}{ 100^2} = 0.9999Pr(∣X−μ∣<kσ)≤1−10021=0.9999
Using Chebyshev's inequality, Which of the following is the correct output for Chebyshev(180.,0.3,1.1) O 0.999 o...
Using Chernoff:
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is it correct?
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Please correct me if I’m wrong
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