A 55-year-old woman purchases a $100,000 term life insurance policy for an annual payment of $456. Based on a life table from the U.S. government, the probability that she will survive the year is 0.9962. Find the expected value of the policy for the insurance company for one year.
P(survive) = 0.9962
P(died) = 1 - 0.9962 = 0.0038
Profit in case of survive = $456
Loss in case of died = 456 - 100000 = -99544
So, E(x) = 0.9962*456 - 99544*0.0038 = $76
Hence, expected value of the policy for the insuracne company for one year is $76.
Please comment if any doubt. Thank you.
A 55-year-old woman purchases a $100,000 term life insurance policy for an annual payment of $456....
A 30-year-old woman purchases a $200,000 term life insurance policy for an annual payment of $400. Based on a period life table for the U.S. government, the probability that she will survive the year is 0.999051. Find the expected value of the policy for the insurance company. Round to two decimal places for currency problems The expected value of the policy for the insurance company is S
An individual purchases a $82,000 term life insurance with an annual payment of $620. The probability that the individual will survive the year is 0.999157. Find the expected value of the policy for the insurance company. Show your work to receive credit
Suppose a life insurance company sells a $180,000 one-year term life insurance policy to a 20-year-old female for $220. The probability that the female survives the year is 0.999594. Compute and interpret the expected value of this policy to the insurance company. The expected value is $ .
Suppose a life insurance company sells a $230,000 one-year term life insurance policy to a 19-year-old female for $220. The probability that the female survives the year is 0.999516. Compute and interpret the expected value of this policy to the insurance company. The expected value is Round to two decimal places as needed.)
Life Insurance: Your company sells life insurance. You charge a 55 year old man $70 for a one year, $100,000 policy. If he dies over the course of the next year you pay out $100,000. If he lives, you keep the $70. Based on historical data (relative frequency approximation) the average 55 year old man has a 0.9998 probability of living another year. (a) What is your expected profit on this policy? $ (b) What is an accurate interpretation of...
A life insurance company sells a $250,000 1-year term life insurance policy to a 20-year old male for $350. The probability this person survives the year is 0.98734. Compute the expected value of this policy to the insurance company to the nearest 0.01.
Suppose a life insurance company sells a $240,000 one-year term life insurance policy to a 20-year-old female for $330. The probability that the female survives the year is 0.999458. Compute and interpret the expected value of this policy to the insurance company. The expected value is $|| 1. (Round to two decimal places as needed.)
Suppose a life insurance company sells a $150,000 one-year term life insurance policy to a 21-year-old female for $340. The probability that the female survives the year is 0.999561. Compute and interpret the expected value of this policy to the insurance company. The expected value is $ . (Round to two decimal places as needed.) Which of the following interpretation of the expected value is correct? O A. The insurance company expects to make an average profit of $339.85 on...
Question 8 (10 points) A term life insurance policy will pay a beneficiary a certain sum of money upon the death of the policy holder. These policies have premiums that must be paid annually. Suppose a life insurance company sells a $230,000 one year term life insurance policy to a 49-year-old female for $527. According to the National Vital Statistics Report, Vol. 47, No. 28, the probability the female will survive the year is 0.99791. Compute the expected value of...
A life insurance company sells a $200,000 1-year life insurance policy to a 20-year-old female for $300. According to the National Vital Statistic Report, the probability that the female survives the year is 0.999544. Compute and interpret the expected value of this policy to the insurance company.