Sensitivity Analysis is useful in decision making because __________.

Sensitivity Analysis is useful in decision making because it tells the user how much critical each input is for the output value. Sensitivity Analysis, also known as "What - If" analysis, is a technique used to determine how changes in variables or inputs impact the outcomes or results of a model or decision. It helps decision-makers understand which variables have the most significant influence on the output or outcome of a decision or project. By assessing the sensitivity of various inputs, decision-makers can make more informed choices and prioritize their efforts based on the variables that have the most significant impact on the results.