How would a decision tree help Charlie in evaluating whether to expand oven capacity?

• A. by identifying the levels in calculating the expected payoff to expand oven capacity
• B. by listing all possible bread types he could bake
• C. by predicting exact future demand
• D. by reducing capital costs

Answer: (A)

Decision trees clarify choices under uncertainty by organizing decisions, uncertain events, and payoffs into distinct levels so you can compute an expected value. For Charlie considering whether to expand oven capacity, the tree would start with the initial decision, then branch into possible demand scenarios (each with its probability), and finally lead to the payoffs from each path (revenues minus costs). By identifying these levels, you can multiply the probabilities by the corresponding payoffs and sum across paths to obtain the expected payoff of expanding. This is why the best answer centers on identifying the levels in calculating the expected payoff to expand oven capacity—the tree structure is what lets you evaluate value under uncertainty. The other ideas don’t fit: listing bread types isn’t the purpose of the tree; predicting exact future demand isn’t how a tree operates (it uses probabilities rather than precise forecasts); and reducing capital costs isn’t achieved by the tree itself, which is a valuation and decision-aid tool.