Chapter 8: Q. 8.6 (page 393)
8.6 . 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?
Short Answer
The components is .
Chapter 8: Q. 8.6 (page 393)
8.6 . 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?
The components is .
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Get started for freeMany people believe that the daily change in the price of a company’s stock on the stock market is a random variable with a mean of and a variance of. That is if Yn represents the price of the stock on theth day, then where are independent and identically distributed random variables with mean and variance. Suppose that the stock’s price today is. If, what can you say about the probability that the stock’s price will exceed afterdays?
Each new book donated to a library must be processed. Suppose that the time it takes to process a book has a mean of minutes and a standard deviation of minutes. If a librarian has books to process,
(a) approximate the probability that it will take more than minutes to process all these books;
(b) approximate the probability that at least books will be processed in the first minutes. What assumptions have you made?
A.J. has jobs that she must do in sequence, with the times required to do each of these jobs being independent random variables with a mean ofminutes and a standard deviation ofminutes. M.J. has jobs that he must do in sequence, with the times required to do each of these jobs being independent random variables with a mean ofminutes and a standard deviation of minutes.
Find the probability that A.J. finishes in less than minutes.
Find the probability that M.J. finishes in less thanminutes.
Find the probability that A.J. finishes before M.J.
Let be a discrete random variable whose possible values are. If is nonincreasing, prove that
Let be a non-negative continuous random variable having a nonincreasing density function. Show thatfor all.
It is a Poisson random variable with a mean, showing that for,
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