Question: In this chapter a decision tree was developed for John Thompson (Figure for the complete decision tree analysis). After completing the analysis, John was not
U (– $190,000) = 0, U (– $180,000) = 0.05,
U (– $30,000) = 0.10, U (– $20,000) = 0.15,
U (– $10,000) = 0.2, U ($0) = 0.3,
U ($90,000) = 0.5, U (– $100,000) = 0.6,
U ($190,000) = 0.95 and U ($200,000) = 1.0.
If John maximizes his expected utility, does his decision change?
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