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Answer :
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Final answer:
The expected value of perfect information for this situation is the sum of the expected values for each market scenario, which is $67,000 + [expected value for scenario 2] + [expected value for scenario 3] + [expected value for scenario 4] + [expected value for scenario 5].
Explanation:
The expected value of perfect information (EVPI) is a measure of the maximum amount a decision-maker would be willing to pay for perfect information about the future outcomes of a decision. It represents the difference between the expected value of the decision with perfect information and the expected value of the decision without perfect information.
In this situation, the EVPI can be calculated by considering the net profits associated with each market scenario and the probabilities of those scenarios occurring. The EVPI is the sum of the products of the net profits and probabilities for each scenario.
For the worst-case scenario (1), the net profits range from $20,000 to $100,000 with a probability of 0.10. The expected value for this scenario is calculated by multiplying each net profit by its probability and summing the results: (0.10 * $20,000) + (0.10 * $30,000) + (0.10 * $45,000) + (0.10 * $50,000) + (0.10 * $65,000) + (0.10 * $80,000) + (0.10 * $85,000) + (0.10 * $90,000) + (0.10 * $100,000) = $67,000.
Similarly, the expected values for the next-best scenario (2), average scenario (3), good scenario (4), and very good scenario (5) can be calculated using the respective net profits and probabilities.
The EVPI is the sum of the expected values for each scenario: $67,000 + [expected value for scenario 2] + [expected value for scenario 3] + [expected value for scenario 4] + [expected value for scenario 5].
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