Chapter 7: Q.7.72 (page 358)
Suppose that in Problem , we continue to flip the coin until a head appears. Let denote the number of flips needed. Find
(a)
(b)
(c)
Short Answer
a) The value of is
b) The value of is
c) The value ofis
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Chapter 7: Q.7.72 (page 358)
Suppose that in Problem , we continue to flip the coin until a head appears. Let denote the number of flips needed. Find
(a)
(b)
(c)
a) The value of is
b) The value of is
c) The value ofis
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A group of men and women is lined up at random.
(a) Find the expected number of men who have a woman next to them.
(b) Repeat part (a), but now assuming that the group is randomly seated at a round table.
The positive random variable is said to be a lognormal random variable with parameters and if is a normal random variable with mean and variance role="math" localid="1647407606488" . Use the normal moment generating function to find the mean and variance of a lognormal random variable
Ten hunters are waiting for ducks to fly by. When a flock of ducks flies overhead, the hunters fire at the same time, but each chooses his target at random, independently of the others. If each hunter independently hits his target with probability ., compute the expected number of ducks that are hit. Assume that the number of ducks in a flock is a Poisson random variable with mean .
Let be independent random variables having an unknown continuous distribution function and let be independent random variables having an unknown continuous distribution function . Now order those variables, and let
The random variable is the sum of the ranks of the sample and is the basis of a standard statistical procedure (called the Wilcoxon sum-of-ranks test) for testing whether and are identical distributions. This test accepts the hypothesis that when is neither too large nor too small. Assuming that the hypothesis of equality is in fact correct, compute the mean and variance of .
Hint: Use the results of Example 3e.
If , and are (pairwise) uncorrelated random variables, each having mean 0 and variance 1 , compute the correlations of
(a) and
(b) and .
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