The paper examines what effect the assumed input distributions have on the resulting probability distributions. The literature has examples and recommendations for assuming normal, uniform, or custom distributions for input parameters. First, one of the key factors underlying the Monte Carlo analysis is the assumed probability distribution of the individual factors within the analysis. Two areas requiring judgment are examined in this paper. However, the presence of such software does not completely automate the process, and the reconstructionist must still exercise judgment in applying the Monte Carlo method to accident reconstruction. Plug-in modules to spreadsheet packages also enable easy access to Monte Carlo simulations. The popularity of the Monte Carlo method is due in some measure to the increased computing power available to reconstructionists. The Monte Carlo simulation has become a popular method for dealing with uncertainty within analyses.
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