The expect value of perfect information is

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1. The expect value of perfect information is:

the expected value under certainty minus the maximum expected value

maximum expected value minus the expected value under certainty

the expected value under certainty plus the maximum expected value

the maximum expected value minus the minimum  expected value

2. Regret is used as a measure of risk to give decision makers a sense of what the other alternatives have to offer.

True

False

Reference no: EM131715947

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