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Fire insurance Suppose a homeowner spends \(\$ 300\) for a home insurance policy that will pay out \(\$ 200,000\) if the home is destroyed by fire. Let \(Y=\) the profit made by the company on a single policy. From previous data, the probability that a home in this area will be destroyed by fire is 0.0002 . (a) Make a table that shows the probability distribution of \(Y\) (b) Compute the expected value of Y. Explain what this result means for the insurance company.

Short Answer

Expert verified
(a) \(Y=300\) with \(P=0.9998\), \(Y=-199,700\) with \(P=0.0002\). (b) The expected profit is \$260 per policy, indicating a profitable scenario for the insurance company.

Step by step solution

01

Define Possible Outcomes for Y

For the homeowner's insurance policy, define the outcomes for profit \(Y\) for the insurance company. If the home does not burn down, the company retains the premium of \\(300, so \(Y=300\). If the home does burn down, the company must pay the homeowner \\)200,000, so \(Y=-199,700\) (loss of \\(200,000 minus \\)300 received).
02

Identify Probabilities

Given the probability of fire is 0.0002, calculate the probabilities for each outcome. The probability the home does not burn down (profit \(Y=300\)) is \(1 - 0.0002 = 0.9998\). The probability the home does burn down (profit \(Y=-199,700\)) is 0.0002.
03

Create Probability Distribution Table

Construct the probability distribution table for \(Y\):| \(Y\) | Probability ||-------------|-----------------|| 300 | 0.9998 || -199,700 | 0.0002 |
04

Compute Expected Value of Y

The expected value \(E(Y)\) is calculated using the formula:\[ E(Y) = (300 \times 0.9998) + (-199,700 \times 0.0002) \]Calculate these:- \(300 \times 0.9998 = 299.94\)- \(-199,700 \times 0.0002 = -39.94\)Thus, \(E(Y) = 299.94 - 39.94 = 260\).
05

Interpret Expected Value Result

The expected value of \(260\) means that, on average, the insurance company makes a profit of \$260 per policy. This results from the very low probability of a home being destroyed by fire compared to the premium collected.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Expected Value
The expected value is a fundamental concept in probability and statistics, often used to predict the average outcome of a random event over a long period. In our context of the fire insurance policy, the expected value tells us how much profit, on average, the insurance company can expect to make per policy.

To compute this, the expected value formula combines each outcome's profit or loss with its probability. This gives a weighted average reflecting the likely financial outcome for the insurance company. In our exercise, the expected value of the profit, denoted as \(E(Y)\), is calculated as follows:

\[ E(Y) = (300 \times 0.9998) + (-199,700 \times 0.0002) \]

Breaking it down:
  • The probability that the house does not burn is 0.9998, leading to a profit of \(300\) for the company.
  • The likelihood of the house burning is 0.0002, resulting in a significant loss of \(-199,700\).
Adding these values together gives an expected profit of \(260\). This illustrates how the seemingly unrelated concepts of profit and loss boil down to a single long-term average profit measure per policy.
Probability
Probability represents the chance or likelihood of a particular event happening. In our discussion about fire insurance policies, probability is crucial for evaluating the risk of a house being destroyed by fire.

For this insurance policy, the probability was given as 0.0002 that a house will catch fire. This very small probability reflects how rare house fires actually are. This figure effectively informs both individuals and the insurance company of the risk level involved:
  • A probability of 1 (sure event) means the event will definitely occur.
  • A probability of 0 (impossible event) means the event will not occur.
  • A probability between 0 and 1 indicates varying levels of certainty.
In our table of probability distribution for \( Y \), we divided the occurrences into two possibilities: the house not burning versus burning down. These probabilities are employed to understand potential outcomes and establish strategies in managing such risks.
Insurance Policy
An insurance policy is a contract between an individual and an insurance company. It provides financial protection against potential risks, such as damage to a property. In our case with the fire insurance policy, homeowners pay a premium of \\(300 annually for coverage against the risk of fire damage.

Insurance companies operate by pooling risks from numerous policyholders, allowing them to cover large potential losses for a small probability event, such as a house fire. The policy outlines the premium to be paid and the coverage amount—in this instance, \\)200,000 if the insured event (house fire) occurs.
  • The premium is the cost of the policy, which the homeowner pays regularly.
  • The payout is the compensation the homeowner receives if the policy conditions (i.e., a house fire) are met.
Despite the catastrophic potential loss, by understanding and calculating probabilities, insurance firms can pool premiums and pay claims while typically making a profit, as calculated with the expected value.

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