Draw a decision tree diagram and determine the expected payoff of your optimal choice for the following scenario (submit the decision tree in the following question):

You are the new manager at Dan's cat in Bothell. You've been tasked with growing the company. After gathering data from your colleagues in operations as well as finance, marketing and economics you've discovered the following possibilities:

These teams have pitched two locations: Everett and Bellevue. In each of these cities there's a chance that we get approved by the local governing board for a large operation (large store + stand-alone factory) or only get approval for a small operation (standard sized store, no factory). The chance of a large operation in Everett is 32%, and Bellevue is 31%. The small operation is the remaining probability.

If we have a large operation, we must choose to either produce and market our full range of goods or to specialize in a specific sub-set of our products. Our estimated profits in Everett are 245,526 for the full range of goods and 71,978 for the sub-set and Bellevue's are 312,985 and 161,390 respectively.

For the small operation we're stuck providing a sub-set of goods (might not be the same goods as in the large operation) and have a chance at a great customer turnout or a very low customer turnout. The chances of great customer turnout is 65% for each city and 35% for low customer turnout (again, for each city). Profits for Everett are estimated to be 174,460 and 37,559, for great and small turnouts respectively and Bellevue is 196,414 and 24,031.

Remember to DRAW A DECISION TREE diagram for the next question.

Report the EXPECTED PAYOFF of the highest paying decision, rounded to the nearest dollar for this question.