The following payoff table provides profits based on various possible decision alternatives and various levels of demand at Amber Gardner's software firm:
Demand Level |
|||
0.70 |
0.30 |
||
Low |
High |
||
Alternative |
A |
$12,500 |
$30,000 |
B |
$7,500 |
$41,000 |
|
C |
($2,000) |
$50,000 |
|
*Profits in $ thousands |
a.
b. There is no alternative that would never be appropriate
c.
Let, required probability of High demand is x for alternative A would be best choice
So, x*12500+(1-x)*30000 = x*7500+(1-x)*41000
or, 5000x= 11000-11000x
or, x = 11000/16000 = 0.6875
So for probability range between 0.6875 and 1 of High demand Alternative A would remain best choice
d.
Let, required probability of High demand is x for alternative C would be best choice
So, x*(-2000)+(1-x)*50000 = x*7500+(1-x)*41000
or, 9500x= 9000-9000x
or, x = 9000/18500 = 0.486486486
So for probability range between 0 and 0.486486486 of High demand
Alternative C would remain best choice
e.
Expected payoff for Alternative A = 0.7*12500+0.3*30000 = 17750
Expected payoff for Alternative B = 0.7*7500+0.3*41000 = 17550
Expected payoff for Alternative C = 0.7*(-2000)+0.3*50000 = 13600
Using expected payoff criterion recommended alternative is alternative A as it has highest expected payoff
f.Expected payoff for Alternative A = 0.7*12500+0.3*30000 = 17750
Expected payoff for Alternative B = 0.7*7500+0.3*41000 = 17550
Expected payoff for Alternative C = 0.7*(-2000)+0.3*50000 = 13600
Using expected payoff criterion recommended alternative is alternative A as it has highest expected payoff
g.
EVPI = expected payoff with perfect information - expected payoff without perfect information
= 0.7*12500+0.3*50000-17750
= 6000
The following payoff table provides profits based on various possible decision alternatives and various levels of...
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