The article discusses sensitivity analysis and Monte Carlo simulation as techniques used in capital budgeting, a process of evaluating investment opportunities. Sensitivity analysis involves testing the robustness of results by changing input variables to understand their impact on output. This technique is useful for supporting decision-making and developing recommendations for decision-makers. Monte Carlo simulation estimates statistical distributions of input variables, simulates changes in inputs, and calculates average outcomes. This method is particularly useful when dealing with multiple, related inputs that affect investment decisions.