Identifying random inputs and possible risks in decisionmodels2. Capturing and modelling likely behaviour of random variablesfrom historical data3. Stochastic modelling tools, functions and approaches onspreadsheets4. Monte Carlo simulation5. Simulating random variability in a decision model6. Capturing probabilistic outcomes of multiple random inputsusing Monte Carlo Simulation