# Math 419 – Spring 2016 Common Continuous Random Variables Problem Set 6 ```Math 419 – Spring 2016
Common Continuous Random Variables
Problem Set 6
1. The losses on a policy are modeled by a uniform random variable on [0, 15000]. If there is a
deductible of 1000, find the expected benefit payment.
2. Losses, X, follow a uniform distribution on [0, 2000]. A basic policy reimburses a policy holder for
up to 400 of their loss, and if the loss is greater than 400, a supplemental policy reimburses for up to
500 over the reimbursement of the basic policy. What is the expected payout of a supplemental
policy to the policyholder?
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Math 419 – Spring 2016
Common Continuous Random Variables
Problem Set 6
3. Let X be an exponential random variable with P(X &sup3; 1) = 0.8. What is F(x) ?
4. Losses are modeled by an exponential distribution with mean 500. Calculate the interquartile range
of the losses.
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Math 419 – Spring 2016
Common Continuous Random Variables
Problem Set 6
5. Let X be an exponential random variable with mean 9. Find V[X | X &gt; 5].
6. An actuary models the occurrence of claims from a portfolio of insurance policies. The time until the
occurrence of the second claim is modeled by a gamma distribution with mean 10 and variance 50.
Given that this time exceeds 10, determine the probability that it exceeds 20.
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Math 419 – Spring 2016
Common Continuous Random Variables
Problem Set 6
7. Three spotlights illuminate a billboard. The lifetime of each spotlight is exponential with mean 2
years. Assume the lifetimes of the spotlights are independent. What is the probability that they will
all continue to illuminate at the end of 1 year?
9. Theft losses are normal with mean 100 and standard deviation 40. Fire losses are normal with mean
150 and standard deviation 30. Assume that theft and fire losses are independent. What is the
coefficient of variation of the total losses?
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Math 419 – Spring 2016
Common Continuous Random Variables
Problem Set 6
10. The size of a population of a country is currently 8.7 million people. In one year's time the
population will be 8.7 x 106 x eX , where X is normally distributed, with mean 0.01 and variance
0.0004. Calculate the probability that the population will increase during the year, but by no more
than 300,000.
11. A random variable X is normally distributed with mean 5 and standard deviation 2. What is the
probability that 8X – X 2 &lt; 1 ?
5
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