Chapter 8: Q. 8.12 (page 393)
The Chernoff bound on a standard normal random variablegives. Show, by considering the density, that the right side of the inequality can be reduced by the factor. That is, show that
Short Answer
Therefore,
Chapter 8: Q. 8.12 (page 393)
The Chernoff bound on a standard normal random variablegives. Show, by considering the density, that the right side of the inequality can be reduced by the factor. That is, show that
Therefore,
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Get started for free8.6 . In Self-Test Problem , how many components would one need to have on hand to be approximately percent certain that the stock would last at least days?
Let be a Poisson random variable with a mean of.
Use the Markov inequality to obtain an upper bound.
Use the one-sided Chebyshev inequality to obtain an upper bound.
Use the Chernoff bound to obtain an upper bound.
Approximate by making use of the central limit theorem.
Determine by running an appropriate program.
In Problem, suppose that it takes a random time, uniformly distributed over, to replace a failed bulb. Approximate the probability that all bulbs have failed by time.
A.J. has 20 jobs that she must do in sequence, with the times required to do each of these jobs being independent random variables with mean 50 minutes and standard deviation 10 minutes. M.J. has 20 jobs that he must do in sequence, with the times required to do each of these jobs
being independent random variables with mean 52 minutes and standard deviation 15 minutes.
(a) Find the probability that A.J. finishes in less than 900 minutes.
(b) Find the probability that M.J. finishes in less than 900 minutes.
(c) Find the probability that A.J. finishes before M.J.
Use the central limit theorem to solve part of the problemlocalid="1649757874152" .
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