Chapter 4: Q.4.9 (page 163)
Repeat Example when the balls are selected with replacement.
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Chapter 4: Q.4.9 (page 163)
Repeat Example when the balls are selected with replacement.
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If X has distribution function F, what is the distribution function of ?
Consider coins, each of which independently comes up heads with probability . Suppose that is large and is small, and let . Suppose that all coins are tossed; if at least one comes up heads, the experiment ends; if not, we again toss all coins, and so on. That is, we stop the first time that at least one of the coins come up heads. Let denote the total number of heads that appear. Which of the following reasonings concerned with approximating is correct (in all cases, is a Poisson random variable with parameter ?
(a) Because the total number of heads that occur when all coins are rolled is approximately a Poisson random variable with parameter ,
(b) Because the total number of heads that occur when all coins are rolled is approximately a Poisson random variable with parameter , and because we stop only when this number is positive,
(c) Because at least one coin comes up heads, will equal 1 if none of the other coins come up heads. Because the number of heads resulting from these coins is approximately Poisson with mean ,
Four independent flips of a fair coin are made. Let denote the number of heads obtained. Plot the probability mass function of the random variable .
If X has distribution function F, what is the distribution function of the random variable αX + β, where α and β are constants,
Consider Problem 4.22 with i = 2. Find the variance of the number of games played, and show that this number is maximized when p = 1 2 .
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