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           Glossary 
          
			Monte Carlo              
		
			The mathematical method used on risk analysis. Monte Carlo 
			simulations are used to approximate the distribution of potential 
			results based on probabilistic inputs. Each simulation is generated 
			by randomly pulling a sample value for each input variable from its 
			defined probability distribution. These input sample values are then 
			used to calculate the results (in RiskyProject, it is project 
			schedule parameters: project duration, start and finish times, 
			success date, and cost). This procedure is then repeated until the 
			probability distributions are sufficiently well represented to 
			achieve the desired level of accuracy. The probability distribution 
			to be used for these inputs is dependent on the types of numbers you 
			want to generate.  
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