Mathematical Statistics with Applications
7th Edition
ISBN: 9780495110811
Author: Dennis Wackerly, William Mendenhall, Richard L. Scheaffer
Publisher: Cengage Learning
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Chapter 16.2, Problem 6E
Suppose that Y is a binomial random variable based on n trials and success
EXAMPLE 16.1 Let Y1, Y2, …, Yn denote a random sample from a Bernoulli distribution where P(Yi = 1) = p and P(Yi = 0) = 1 − p and assume that the prior distribution for p is beta (α, β). Find the posterior distribution for p.
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30. An individual who has automobile insurance from a certain company is randomly selected. Let Y be the num- ber of moving violations for which the individual was cited during the last 3 years. The pmf of Y isy | 1 2 4 8 16p(y) | .05 .10 .35 .40 .10
a.Compute E(Y).b. Suppose an individual with Y violations incurs a surcharge of $100Y^2. Calculate the expected amount of the surcharge.
24. An insurance company offers its policyholders a num- ber of different premium payment options. For a ran- domly selected policyholder, let X = the number of months between successive payments. The cdf of X is as follows:
F(x)=0.00 : x < 10.30 : 1≤x<30.40 : 3≤ x < 40.45 : 4≤ x <60.60 : 6≤ x < 121.00 : 12≤ x
a. What is the pmf of X?b. Using just the cdf, compute P(3≤ X ≤6) and P(4≤ X).
Chapter 16 Solutions
Mathematical Statistics with Applications
Ch. 16.2 - Refer to the results of Example 16.2 given in...Ch. 16.2 - Define each of the following: a Prior distribution...Ch. 16.2 - Suppose that Y is a binomial random variable based...Ch. 16.2 - In Section 16.1 and Exercise 16.6, we considered...Ch. 16.2 - Refer to Exercise 16.6. If Y is a binomial random...Ch. 16.2 - Suppose that we conduct independent Bernoulli...
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