How does a quantitative risk matrix differ from a qualitative one?

How does a quantitative risk matrix differ from a qualitative one?

• A. It uses numeric values and distributions to compute numerical risk scores.
• B. It uses color codes to categorize risk levels.
• C. It focuses exclusively on insurance transfer.
• D. It assumes risks are independent and has no distributions.

Answer: (A)

Quantitative risk matrices replace subjective labels with numbers and use probability distributions to quantify risk. Likelihood and impact are expressed as precise values (or described by distributions) rather than broad categories like low, medium, or high. These numeric inputs are then combined to produce a numerical risk score, which lets you compare risks directly, aggregate them across items, and perform statistical analysis of overall exposure. The use of distributions also allows modeling uncertainty and calculating metrics like expected loss. In contrast, a qualitative matrix relies on qualitative scales and often color-coding to categorize risk without producing a numeric score. The other options describe features not defining the difference: color codes are typical of qualitative tools, not the defining feature of quantitative ones; focusing on insurance transfer is not a distinguishing aspect of the matrix type; and assuming independence or no distributions is not a required characteristic of quantitative approaches.

Quantitative risk matrices replace subjective labels with numbers and use probability distributions to quantify risk. Likelihood and impact are expressed as precise values (or described by distributions) rather than broad categories like low, medium, or high. These numeric inputs are then combined to produce a numerical risk score, which lets you compare risks directly, aggregate them across items, and perform statistical analysis of overall exposure. The use of distributions also allows modeling uncertainty and calculating metrics like expected loss. In contrast, a qualitative matrix relies on qualitative scales and often color-coding to categorize risk without producing a numeric score. The other options describe features not defining the difference: color codes are typical of qualitative tools, not the defining feature of quantitative ones; focusing on insurance transfer is not a distinguishing aspect of the matrix type; and assuming independence or no distributions is not a required characteristic of quantitative approaches.