Let’s now focus on the output from a simulation analysis. It consists of the outputs of the analyses of many, many (for example, as we’ve said, 2000) possible future scenarios, the resulting possible outcomes of an investment or development project. How can we make sense of all this information?
We can quantitatively summarize and analyze such output in a variety of ways. Although summary statistics of the sample distribution are helpful for this purpose, we focus in this chapter on a particularly intuitive way in which we can display simulation results, to graph the distribution of the sample output. This chapter describes two important ways to do this: target curves and scatterplots.
8.1 Target Curves
Target curves are perhaps the most iconic representations of the simulation output. A target curve uses a simple line graph to depict the distribution of the simulated results. It plots the probability of occurrence (on the vertical axis) against some ...