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 $1 240 90 $₂ $3 90 15 90 65 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 s₁ then ? ; If s₂ then ? ; If S3 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
If S1
d₁
d₂
States of Nature
then ?
$1
240
90
90 15
The probabilities for the states of nature are P(S₁) = 0.65, P(s₂) = 0.15, and P(s3) = 0.20.
(a) What is the optimal decision strategy if perfect information were available?
; If S₂ then ?
90 65
; If S3
then ?
(b) What is the expected value for the decision strategy developed in part (a)?
î
(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 =
î
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 If S1 d₁ d₂ States of Nature then ? $1 240 90 90 15 The probabilities for the states of nature are P(S₁) = 0.65, P(s₂) = 0.15, and P(s3) = 0.20. (a) What is the optimal decision strategy if perfect information were available? ; If S₂ then ? 90 65 ; If S3 then ? (b) What is the expected value for the decision strategy developed in part (a)? î (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 = î
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