A type of quantitative decision-making tool that allows firms to calculate the probable values of different options if they are pursued; they help minimize the risks involved in decision-making.

A type of quantitative decision-making tool that allows firms to calculate the probable values of different options if they are pursued; they help minimize the risks involved in decision-making.

• A. Decision trees
• B. Decision-making
• C. Strategy
• D. Executive summary

Answer: (A)

This question tests understanding of a quantitative tool that maps choices and uncertain outcomes to calculate expected values and manage risk. A decision tree lays out options as branches, with chance nodes for uncertain events and terminal nodes showing the payoffs. By assigning probabilities and payoffs to each path and calculating the expected value for each option (multiplying each payoff by its probability and summing across paths), you get a clear numerical basis to compare alternatives under risk. The path with the highest expected value is typically chosen, because it represents the option that, on average, yields the best outcome once uncertainty is taken into account. This visualization also makes it easy to see how changing probabilities or payoffs would shift the preferred path and to model sequential decisions as new information becomes available. Other terms described—decision-making as a broad process, strategy as a plan, executive summary as a concise report—do not perform this specific quantitative evaluation.

This question tests understanding of a quantitative tool that maps choices and uncertain outcomes to calculate expected values and manage risk. A decision tree lays out options as branches, with chance nodes for uncertain events and terminal nodes showing the payoffs. By assigning probabilities and payoffs to each path and calculating the expected value for each option (multiplying each payoff by its probability and summing across paths), you get a clear numerical basis to compare alternatives under risk. The path with the highest expected value is typically chosen, because it represents the option that, on average, yields the best outcome once uncertainty is taken into account. This visualization also makes it easy to see how changing probabilities or payoffs would shift the preferred path and to model sequential decisions as new information becomes available. Other terms described—decision-making as a broad process, strategy as a plan, executive summary as a concise report—do not perform this specific quantitative evaluation.