Quantifying these factors involves several methods:
1. Statistical Analysis: Statistical tools are used to quantify variability and identify the range of possible outcomes. 2. Monte Carlo Simulations: These simulations use random sampling to explore the range of possible outcomes and quantify uncertainty. 3. Sensitivity Analysis: This method identifies how sensitive the outcomes are to changes in various input parameters, helping to quantify uncertainty.
