Exercises
This quiz explores how managers make sound choices when outcomes are uncertain. It covers programmed and nonprogrammed decisions, expected monetary value, decision trees, payoff matrices, minimax regret, Bayesian reasoning, sensitivity analysis, the value of perfect information, sunk costs, cognitive bias, and groupthink prevention. Questions combine conceptual knowledge with practical calculations and visual interpretation.
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A nonprogrammed decision addresses a novel, complex, or unstructured problem for which no established procedure provides a complete answer.
The expected monetary value is (0.60 × $120,000) + (0.40 × −$30,000) = $72,000 − $12,000 = $60,000.
Maximin identifies each alternative's minimum payoff and then selects the alternative with the highest of those minimum payoffs. It is a conservative criterion.
The research expenditure is already incurred and cannot be recovered. Rational analysis should compare only the future costs and benefits of continuing or stopping.
Confirmation bias is the tendency to favor information that supports an existing belief while discounting evidence that challenges it.
In standard decision trees, a circle represents a chance node, where uncertain outcomes branch according to their probabilities. A square represents a decision node.
Sensitivity analysis varies important inputs, such as probabilities, costs, or demand estimates, to determine whether the preferred choice remains robust.
The maximum regrets are 45 for A, 30 for B, and 60 for C. Minimax regret selects B because its largest possible regret is the smallest.
Bayes' rule gives (0.10 × 0.80) ÷ [(0.10 × 0.80) + (0.90 × 0.20)] = 0.08 ÷ 0.26, or approximately 31%.
Without perfect information, the best expected payoff is $50,000. With perfect information, it is 0.5($200,000) + 0.5($40,000) = $120,000. EVPI is therefore $70,000.
A devil's advocate challenges assumptions and makes disagreement legitimate. Inviting contrary evidence helps the team evaluate alternatives rather than conform prematurely.
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