In: Statistics and Probability
You are given the following payoff table with profits (in $).
Decision |
States of Nature |
|
s1 |
s2 |
|
d1 |
1000 |
3000 |
d2 |
4000 |
500 |
Assume the following probability information is given, where I1 and I2 are the outcomes of the sample information available:
P(s1) = 0.45; |
P(I1 | s1) = 0.7; |
P(I2 | s1) = 0.3 |
P(s2) = 0.55; |
P(I1 | s2) = 0.6; |
P(I2 | s2) = 0.4 |
[2] Find the values of P(I1) and P(I2).
[2] Determine the values of P(s1 | I1), P(s2 | I1), P(s1 | I2), and P(s2 | I2).
[4] Determine the optimal strategy based on the sample information I1 and I2. What is the expected value of your solution?
2) The value of P(I1) is
The value of P(I2) is
3)
4) We draw the following tree for the ease of understanding
Moving from the right to the left
chance node 4:
The expected value of node 4 is
chance node 5:
The expected value of node 5 is
chance node 6:
The expected value of node 6 is
chance node 7:
The expected value of node 7 is
Decision node 2:
Choose from 2 options
Since this is a payoff table for profits, the optimum decision is the alternative which maximizes the payoff.
The optimum decision for node 2 is d2
ans: The optimum strategy based on sample information I1 is d2
Decision node 3:
Choose from 2 options
Since this is a payoff table for profits, the optimum decision is the alternative which maximizes the payoff.
The optimum decision for node 3 is d1
ans: The optimum strategy based on sample information I2 is d1
The expected value at node 1 is
ans: the expected value of your solution is $2220.05