Guide to Quantitative Risk Analysis
What is Quantitative Risk Analysis?
Quantitative Risk Analysis is a technique that uses numerical values to evaluate risk in a project. It uses statistical methods to quantify the impacts of identified risks on overall project objectives. It's a critical part of Project Risk Management.
Importance of Quantitative Risk Analysis
Quantitative Risk Analysis helps project managers understand the likelihood of achieving project objectives on time and within budget, allowing for potential risks. It allows for better decision-making by predicting the chances of project success and identifying areas of high risk.
How it works
Quantitative Risk Analysis uses identified risks, their probability of occurring, and their impacts on project objectives to provide a numerical assessment of the overall project risk. Techniques used include Monte Carlo simulation, sensitivity analysis, and decision tree analysis.
Exam Tips: Answering Questions on Quantitative Risk Analysis
1. Understand the principles: Make sure you understand the fundamental concepts of Quantitative Risk Analysis, such as risk modeling and simulation.
2. Practice scenarios: Quantitative Risk Analysis often involves hypothetical situations. Be prepared to solve practices questions with different scenarios.
3. Learn formulas: There may be questions that require you to apply certain mathematical formulas. Familiarize yourself with these.
4. Understand the use of software tools: Some questions may refer to the use of specific software tools for Quantitative Risk Analysis like @Risk or Crystal Ball. Understand how these tools work.