Ken Golden has just purchased a franchise from Paper Warehouse
to open a party goods store. Paper Warehouse offers three sizes of
stores: Standard - 4000 sq ft; Super - 6500 sq ft; and Mega - 8500
sq ft. Ken estimates that the present worth profitability of this
store will be based on the size of the store he selects to build as
well as the number of competing party goods stores in the area. He
feels that between 1 and 4 stores will open to compete with him.
Ken has developed the following payoff table (showing estimated
present worth profits in $10,000s) to help him in his decision
making.
Number of Competing Stores that will Open |
Types of Stores |
1 |
2 |
3 |
4 |
Standard |
40 |
20 |
10 |
-10 |
Super |
60 |
40 |
30 |
-20 |
Mega |
200 |
60 |
0 |
-100 |
A. If Ken is an optimistic decision maker, what size of store
should he open?
Enter Standard, Super, or Mega
B. If Ken is a pessimistic decision maker, what size store should
he open?
Enter Standard, Super, or Mega
Ken talked to an Economist who estimated the the following
likelihoods for each State of Nature
P(1 Competing Store) = .4
P(2 Competing Stores) = .3
P(3 Competing Stores) = .2
P(4 Competing Stores) = .1
Using these probablilties, find each of the following:
The Expected Monetary Value of Standard =
The Expected Monetary Value of Super =
The Expected Monetary Value of Mega =
The Expected Value Under Certainty =
The Expected Value of Perfect Information =
Solution:
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