Chapter 4: Q.4.16 (page 170)
Let be a Poisson random variable with parameter . Show that increases monotonically and then decreases monotonically asincreases, reaching its maximum when is the largest integer not exceeding .
Hint: Consider .
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Chapter 4: Q.4.16 (page 170)
Let be a Poisson random variable with parameter . Show that increases monotonically and then decreases monotonically asincreases, reaching its maximum when is the largest integer not exceeding .
Hint: Consider .
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Let X be a binomial random variable with parameters (n, p). What value of p maximizes P{X = k}, k = 0, 1, ... , n? This is an example of a statistical method used to estimate p when a binomial (n, p) random variable is observed to equal k. If we assume that n is known, then we estimate p by choosing that value of p that maximizes P{X = k}. This is known as the method of maximum likelihood estimation.
When coin 1 is flipped, it lands on heads with probability .4; when coin 2 is flipped, it lands on heads with probability .7. One of these coins is randomly chosen and flipped 10 times.
(a) What is the probability that the coin lands on heads on exactly 7 of the 10 flips?
(b) Given that the first of these 10 flips lands heads, what is the conditional probability that exactly 7 of the 10 flips land on heads?
The expected number of typographical errors on a page of a certain magazine is. What are the probability that the next page you read contains (a) and (b) or more typographical errors? Explain your reasoning!
From a set of randomly chosen people, let denote the event that persons and have the same birthday. Assume that each person is equally likely to have any of the 365 days of the year as his or her birthday. Find
(a) ;
(b) ;
(c) .
What can you conclude from your answers to parts (a)-(c) about the independence of the events ?
The random variable X is said to have the Yule-Simons distribution if
(a) Show that the preceding is actually a probability mass function. That is, show that
(b) Show that E[X] = 2.
(c) Show that E[X2] = q
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