Chapter 4: Q.4.19 (page 171)
Show that is a Poisson random variable with parameter , then
Now use this result to compute .
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Chapter 4: Q.4.19 (page 171)
Show that is a Poisson random variable with parameter , then
Now use this result to compute .
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An urn has n white and m black balls. Balls are randomly withdrawn, without replacement, until a total of white balls have been withdrawn. The random variable equal to the total number of balls that are withdrawn is said to be a negative hypergeometric random variable.
(a) Explain how such a random variable differs from a negative binomial random variable.
(b) Find .
Hint for (b): In order for to happen, what must be the results of the first withdrawals?
Five distinct numbers are randomly distributed to players numberedthrough Whenever two players compare their numbers, the one with the higher one is declared the winner. Initially, playersand compare their numbers; the winner then compares her number with that of player and so on. Let denote the number of times player is a winner. Find
The number of times that a person contracts a cold in a given year is a Poisson random variable with parameter . Suppose that a new wonder drug (based on large quantities of vitamin ) has just been marketed that reduces the Poisson parameter to for percent of the population. For the other percent of the population, the drug has no appreciable effect on colds. If an individual tries the drug for a year and has colds in that time, how likely is it that the drug is beneficial for him or her?
Suppose that balls are put into boxes, with each ball independently being put in box with probability
(a) Find the expected number of boxes that do not have any balls.
(b) Find the expected number of boxes that have exactly ball.
There are N distinct types of coupons, and each time one is obtained it will, independently of past choices, be of type i with probability Pi, i = 1, ... , N. Let T denote the number one need select to obtain at least one of each type. Compute P{T = n}.
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