Explain expected profit using decision tree


Explain expected profit using decision tree:

ING's Consulting Solution division has been loomed by the North Carolina Regional Airport Authority about a difficult problem with overcrowding at the Charlotte airport there are three different options under consideration:

1. The airport could be completely redesigned and rebuilt at a cost of $8.2M. The present value of amplified revenue from a new airport is in question. There is a 70% probability that this present value would be $11.0M, a 20% probability the present value would be $5.0M, and a 10% probability that the present value would be $1.0M contingent on whether the new airport is a success a moderate success or a failure.

2. The airport could be remodelled with a new runway for a cost of $4.7M. The present value of the amplified revenue would be $6 0M (with a probability of 0.8) or $3.0M (with a probability of 0.2).

3. They could do nothing with the airport as well as suffer a loss of revenue of either $1 .OM (65% chance) or $4.0M (35% chance).

Draw a decision tree as well as select the option that will maximize the present value.

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Basic Statistics: Explain expected profit using decision tree
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