The following payoff table shows profit for a decision analysis problem with two decision alternatives and three states of nature. States of Nature 51 52 53 Decision Alternative d₁ d₂ 260 110 35 110 110 85 The probabilities for the states of nature are P(s) = 0.65, P(S₂) = 0.15, and P(s) = 0.20. (a) What is the optimal decision strategy if perfect information were available? If s, then ? If s₂ then? ✓; If s₂ then ? (b) What is the expected value for the decision strategy developed in part (a)? (c) Using the expected value approach, what is the recommended decision without perfect information? What is its expected value? The recommended decision without perfect information is? EV = (d) What is the expected value of perfect information? EVPI =

Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter9: Decision Making Under Uncertainty
Section9.4: The Precision Tree Add-in
Problem 9P
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The following payoff table shows profit for a decision analysis problem with two decision alternatives and three states of nature.
Decision
Alternative
d₁
d₂
States of Nature
51
5₂ 53
260 110 35
110 110 85
The probabilities for the states of nature are P(S₁) = 0.65, P(S₂) = 0.15, and P(s) = 0.20.
(a) What is the optimal decision strategy if perfect information were available?
If s, then?
;If s₂ then 2
✓; If s₂ then ?
(b) What is the expected value for the decision strategy developed in part (a)?
(c) Using the expected value approach, what is the recommended decision without perfect information? What is its expected value?
The recommended decision without perfect information is ?
EV =
(d) What is the expected value of perfect information?
EVPI =
Transcribed Image Text:The following payoff table shows profit for a decision analysis problem with two decision alternatives and three states of nature. Decision Alternative d₁ d₂ States of Nature 51 5₂ 53 260 110 35 110 110 85 The probabilities for the states of nature are P(S₁) = 0.65, P(S₂) = 0.15, and P(s) = 0.20. (a) What is the optimal decision strategy if perfect information were available? If s, then? ;If s₂ then 2 ✓; If s₂ then ? (b) What is the expected value for the decision strategy developed in part (a)? (c) Using the expected value approach, what is the recommended decision without perfect information? What is its expected value? The recommended decision without perfect information is ? EV = (d) What is the expected value of perfect information? EVPI =
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