ABSTRACT
Many organizations are just beginning to learn that sophisticated software packages do not necessarily create sophisticated users. People often understand a package's functions but not the underlying decision technology. This is particularly true with Monte Carlo Simulation (MCS). Range estimating was developed to correct the deficiencies as well as to capitalize on the strengths of MCS in order to bring the benefits of risk analysis to nonstatisticians-without compromising the validity of the technique.
