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18. Life insurance

(a) It would be quite risky for you to insure the life of a 21-year-old friend under the terms of Exercise 14. There is a high probability that your friend would live and you would gain \(1250in premiums. But if he were to die, you would lose almost \)100,000. Explain carefully why selling insurance is not risky for an insurance company that insures many thousands of 21-year-old men.

(b) The risk of an investment is often measured by the standard deviation of the return on the investment. The more variable the return is, the riskier the
investment. We can measure the great risk of insuring a single person’s life in Exercise 14by computing the standard deviation of the income Y that the insurer will receive. Find σY using the distribution and mean found in Exercise 14.

Short Answer

Expert verified

(a) Risk is low because large number of policy holders are involved.

(b) The standard deviation is $9708.

Step by step solution

01

Part (a) Step 1:Given information 

Given in the question that the high probability would gain $1250in premiums. If die, would lose almost $100,000. Selling insurance is not risky for an insurance company that insures many thousands of 21-year-old men.

02

Part (a) Step 2: Explanation 

According to the information, the gain around is$1250.
Amount would lost in case of death is$100,000
The expected value with its probability is:
E(X)=x×P(x)=(99750)×0.00183+.+(1250)×0.99058=303.35

03

Part (b) Step 1: Given information

The standard deviation of the investment return is used to determine the risk of an investment. The riskier the investment is, the more varied the return is.

04

Part (b) Step 2: Explanation 

The standard deviation ofY can be determined as:
σ=x2×P(x)-x×P(x)2=(99750303.3525)2×0.00183+..+(1250303.3525)2×0.99058=9708

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Most popular questions from this chapter

Binomial setting? A binomial distribution will be approximately correct as a model for one of these two settings and not for the other. Explain why by briefly discussing both settings. (a) When an opinion poll calls residential telephone numbers at random, only 20%of the calls reach a person. You watch the random digit dialing machine make 15calls. Xis the number that reaches a person

(b) When an opinion poll calls residential telephone numbers at random, only 20%of the calls reach a live person. You watch the random digit dialing machine make calls. Yis the number of calls until the first live person answers

The mean of Tis

(a)110

(b)140

(c)180

(d)195

(e)250

A large auto dealership keeps track of sales and leases agreements made during each hour of the day. Let χ= the number of cars sold and γ= the number of cars leased during the first hour of business on a randomly selected Friday. Based on previous records, the probability distributions of χand γare as follows:

Define τ=χ+γ

Compute στassuming that χ and γ are independent. Show your work.

14. . Life insurance A life insurance company sells a term insurance policy to a 21-year-old male that pays \(100,000if the insured dies within the next 5years. The probability that a randomly chosen male will die each year can be found in mortality tables. The company collects a premium of \)250each year a payment for the insurance. The amount Ythat the company earns on this policy is \(250per year, less the \)100,000that it must pay if the insured dies. Here is a partially completed table that shows information about risk of mortality and the values of Y=profit earned by the company:

(a) Copy the table onto your paper. Fill in the missing values of Y.
(b) Find the missing probability. Show your work.
(c) Calculate the mean μY.Interpret this value in context

A large auto dealership keeps track of sales and leases agreements made during each hour of the day. Let X= the number of cars sold and Y= the number of cars leased during the first hour of business on a randomly selected Friday. Based on previous records, the probability distributions of Xand Yare as follows:

Define D=X-Y.

The dealership’s manager receives a 500bonus for each car sold and a300 bonus for each car leased. Find the mean and standard deviation of the difference in the manager’s bonus for cars sold and leased. Show your work.

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