Critical Inquiry $($Estimating for Risk$)$

A commonly used technique for estimating risk is $($Monte Carlo$)$ simulation. Roughly, how it works is you provide lower

and upper bounds on your estimate ranges $($as in the part above$),$ and choose a distribution type $($normal $=$ bell curve,

uniform $=$ equal or flat, triangle $3$ points as in above$)$ for a set of variables in your simulation $$ for example, multiple

events that could occur that impact risk. Then the simulation runs through the combinatorics of these events and their

probabilities according to the ranges and distributions you provided. We are not going to run a simulation; for this part I

simply want you to provide and discuss ONE reason why this method may be better than the Risk Trees in your Hoodat

& Rashidi reading, and ONE reason why the Risk Tree approach may be bette