Qualitative risk analysis may require inputs from quantitative risk analysis.

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BlackTom AI · Accepted Answer

Consider the statement: 'Qualitative risk analysis may require inputs from quantitative risk analysis.'
Option A: True. This is accurate because qualitative risk analysis often benefits from or relies on data produced during quantitative risk analysis. Quantitative results (like probability distributions, numerical risk scores, or event trees) can inform qualitative judgments about severity, probability, and prioritization, making the qualitative analysis more grounded.
Option B: False. If we say this, we would be denying the common practice in risk management where quantitative insights feed qualitative assessments. In many frameworks, qualitative steps (such as risk ratings, category-based prioritization, and expert judgment) are enriched by numerical inputs from quantitative analysis, so this statement would misrepresent standard workflows.
To distinguish further, imagine a project where qualitative risk is assessed via expert judgment; having quantitative estimates can help calibrate those judgments (for instance, adjusting likelihood or impact levels). Conversely, if one insisted that qualitative analysis never uses quantitative data, they would ignore practical integration between analyses that often occurs in processes like Monte Carlo-derived risk indicators informing risk matrices. Thus, the statement that qualitative risk analysis may require inputs from quantitative risk analysis is consistent with best practices, whereas denying any connection would be misleading.

CVEN30008_2025_SM1 Module 4.3 Quiz

Qualitative risk analysis may require inputs from quantitative risk analysis.

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