CAP · Question #29
You are the project manager for your organization. You are preparing for the quantitative risk analysis. Mark, a project team member, wants to know why you need to do quantitative risk analysis when…
The correct answer is D. Quantitative risk analysis is the process of numerically analyzing the effect of identified risks. Quantitative risk analysis numerically models the combined effect of identified risks on overall project objectives, going beyond the priority ranking done in qualitative analysis.
Question
You are the project manager for your organization. You are preparing for the quantitative risk analysis. Mark, a project team member, wants to know why you need to do quantitative risk analysis when you just completed qualitative risk analysis. Which one of the following statements best defines what quantitative risk analysis is?
Options
- AQuantitative risk analysis is the planning and quantification of risk responses based on
- BQuantitative risk analysis is the process of prioritizing risks for further analysis or action by
- CQuantitative risk analysis is the review of the risk events with the high probability and the
- DQuantitative risk analysis is the process of numerically analyzing the effect of identified risks
How the community answered
(49 responses)- A4% (2)
- B8% (4)
- C2% (1)
- D86% (42)
Why each option
Quantitative risk analysis numerically models the combined effect of identified risks on overall project objectives, going beyond the priority ranking done in qualitative analysis.
Planning and quantifying risk responses describes risk response planning, which is a separate and later process in risk management.
Prioritizing risks for further analysis by assessing probability and impact is the definition of qualitative risk analysis, not quantitative.
Reviewing risk events with high probability and impact is part of qualitative analysis output review, not the definition of quantitative risk analysis.
Quantitative risk analysis is the process of numerically analyzing the effect of identified risks on project objectives such as cost and schedule. It uses techniques like Monte Carlo simulation, decision tree analysis, and sensitivity analysis to produce probabilistic outcomes, giving stakeholders a data-driven view of overall project risk exposure.
Concept tested: Definition and purpose of quantitative risk analysis
Source: https://www.pmi.org/pmbok-guide-standards/foundational/pmbok
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