Chapter 7: Q. 7.50 (page 363)
Let have moment generating function , and define. Show that.
Short Answer
The second derivative value of and plug in.
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Chapter 7: Q. 7.50 (page 363)
Let have moment generating function , and define. Show that.
The second derivative value of and plug in.
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In the text, we noted that
when the are all nonnegative random variables. Since
an integral is a limit of sums, one might expect that
whenever are all nonnegative random
variables; this result is indeed true. Use it to give another proof of the result that for a nonnegative random variable ,
Hint: Define, for each nonnegative , the random variable
by
role="math" localid="1647348183162"
Now relate
In Problem 7.9, compute the variance of the number of empty urns.
Consider independent trials, the of which results in a success with probability .
(a) Compute the expected number of successes in the trials-call it
(b) For a fixed value of , what choice of maximizes the variance of the number of successes?
(c) What choice minimizes the variance?
Consider independent flips of a coin having probability of landing on heads. Say that a changeover occurs whenever an outcome differs from the one preceding it. For instance, if and the outcome is, then there are changeovers. Find the expected number of changeovers. Hint: Express the number of changeovers as the sum of Bernoulli random variables.
The number of people who enter an elevator on the ground floor is a Poisson random variable with mean . If there are floors above the ground floor, and if each person is equally likely to get off at any one of the floors, independently of where the others get off, compute the expected number of stops that the elevator will make before discharging all of its passengers.
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