Suppose that an insurance company insures more than one million individuals with a policy that the...
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...
Suppose a company charges an annual premium of $140 for an insurance policy for minor injuries. Actuarial studies show that in case of an injury claim, the company will pay out an average of $900 for outpatient care and an average of $3000 for an overnight stay in the hospital. They also determine that, on average, each year there are five claims made that result in outpatient care for every 1000 policies and three claims made that result in an...
Suppose a life insurance company sells a $150,000 one-year term life insurance policy to a 19-year-old female for $220. The probability that the female survives the year is 0.999554, 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 $153.10 on...
An insurance company sells a policy for $1250. Based on past data, an average of 1 in 50 policyholders will win a $10,000 claim on a policy, an average of 1 in 100 policyholders will win a $25,000 claim on a policy, an average of 1 in 200 policyholders will win a $50,000 claim on a policy, and an average of 1 in 500 policyholders will win a $250,000 claim on a policy. a. Find the expected value (to the...
An insurance policy sells for $800. Based on past data, an average of 1 in 125 policyholders will file a $10 comma 000 claim, an average of 1 in 100 policyholders will file a $50 comma 000 claim, and an average of 1 in 400 policyholders will file a $60 comma 000 claim. Find the expected value (to the company) per policy sold. If the company sells 20 comma 000 policies, what is the expected profit or loss?
The idea of insurance is that we all face risks that are unlikely but carry high cost. Think of a fire destroying your home. Insurance spreads the risk: we all pay a small amount, and the insurance policy pays a large amount to those few of us whose homes burn down. An insurance company looks at the records for millions of homeowners and sees that the mean loss from fire in a year is μ = $250 per person. (Most...
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...
. Suppose a large insurance company wants to estimate the difference between the average amount of term life insurance purchased per family and the average amount of whole life insurance purchased per family. To obtain an estimate, one of the company's actuaries randomly selects 27 families who have term life insurance only and 29 families who have whole life policies only. Each sample is taken from families in which the leading provider is younger than 45 years of age. Use...
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Problem 5 An insurance company issues a policy on a car under the following conditions: (1) The replacement cost of $37,000 will be paid for a total loss. (ii) If it is not a total loss, but the damage is more than $11,000, then only $ 10,500 will be paid. (iii) Nothing will be paid for damage costing $11,000 or less and, (iv) Nothing will be paid out if there is no damage. The company estimates, based...
The idea of insurance is that we all face risks that are unlikely but carry high cost. Think of a fire destroying your home. Insurance spreads the risk: we all pay a small amount, and the insurance policy pays a large amount to those few of us whose homes burn down. An insurance company looks at the records for millions of homeowners and sees that the mean loss from fire in a year is μ = $250 per person. (Most...