Question

Sensitivity analysis is most often associated with which step of the quantitative analysis approach?

(a) Defining the problem
(b) Acquiring input data
(c) Implementing the results
(d) Analyzing the results

Answer 1

Sensitivity analysis is closely associated with the step of analyzing the results in the quantitative analysis approach, as it helps determine how changes to inputs affect outputs.

Step-by-step explanation:

Sensitivity analysis is most associated with the step of analyzing the results in the quantitative analysis approach. This process examines how the uncertainty in the output of a model can be apportioned to different sources of uncertainty in the model input. In other words, it determines how different values of an input will impact a particular output under a given set of assumptions.

Sensitivity analyses are crucial in validated models and decision-making processes, where it helps in assessing the robustness of the results and in identifying the most sensitive parameters.