We can get a sense of how model output responds to changes in inputs from sensitivity analyses. Some argue that we might draw very different conclusions when using different boundaries, especially when model output is a non-linear function of inputs. For example, we compute the net present value (NPV) of a business with a 10% discount rate. We can choose +/- 1% for our sensitivity analysis, or +/-5% for our analysis. For this reason, some argue that one can manipulate sensitivity analysis to support one’s prior. What do you think of this comment?

Essentials of Business Analytics (MindTap Course List)
2nd Edition
ISBN:9781305627734
Author:Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson
Publisher:Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson
Chapter15: Decision Analysis
Section: Chapter Questions
Problem 13P: The following profit payoff table was presented in Problem 1: The probabilities for the states of...
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  • We can get a sense of how model output responds to changes in inputs from sensitivity analyses. Some argue that we might draw very different conclusions when using different boundaries, especially when model output is a non-linear function of inputs. For example, we compute the net present value (NPV) of a business with a 10% discount rate. We can choose +/- 1% for our sensitivity analysis, or +/-5% for our analysis. For this reason, some argue that one can manipulate sensitivity analysis to support one’s prior. What do you think of this comment?
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