What is the difference between qualitative and quantitative risk analysis?

What is the difference between qualitative and quantitative risk analysis?

• A. Qualitative uses numerical models
• B. Qualitative uses descriptors and judgement
• C. Quantitative uses descriptors
• D. Qualitative uses data only

Answer: (B)

Qualitative risk analysis describes risks using words and categories, relying on expert judgment to judge how likely an event is and how big its impact would be. Instead of precise numbers, you rate probability and impact on a scale (for example, low, medium, high) and then prioritize risks based on those descriptions. This approach is fast, flexible, and useful when data is scarce or when you need to make quick decisions without heavy modeling. That’s why this option is the best fit: it captures the core idea that qualitative risk relies on descriptive terms and judgment rather than numeric calculations. In contrast, quantitative analysis uses numerical data and mathematical models to estimate exact risk values, and descriptors aren’t the primary tool there. The idea that qualitative uses data only isn’t accurate, since qualitative methods emphasize descriptions and judgment rather than precise data, and the notion that qualitative uses numerical models isn’t accurate either.

Qualitative risk analysis describes risks using words and categories, relying on expert judgment to judge how likely an event is and how big its impact would be. Instead of precise numbers, you rate probability and impact on a scale (for example, low, medium, high) and then prioritize risks based on those descriptions. This approach is fast, flexible, and useful when data is scarce or when you need to make quick decisions without heavy modeling.

That’s why this option is the best fit: it captures the core idea that qualitative risk relies on descriptive terms and judgment rather than numeric calculations. In contrast, quantitative analysis uses numerical data and mathematical models to estimate exact risk values, and descriptors aren’t the primary tool there. The idea that qualitative uses data only isn’t accurate, since qualitative methods emphasize descriptions and judgment rather than precise data, and the notion that qualitative uses numerical models isn’t accurate either.