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What is the main difference between qualitative and quantitative risk analysis?

Qualitative relies solely on numerical data

Qualitative uses judgment and descriptive methods, quantitative uses numerical data

The main distinction between qualitative and quantitative risk analysis lies in their approaches to evaluating and interpreting risk. Qualitative risk analysis employs judgment, intuition, and descriptive methods to assess risks. This analysis often involves categorizing risks based on their potential impact and likelihood, utilizing techniques such as interviews, brainstorming sessions, and risk matrices. This type of analysis is particularly beneficial in the early stages of risk management, where the aim is to understand the nature of the risks rather than calculate numerical values.

On the other hand, quantitative risk analysis uses numerical data and statistical methods to assign measurable values to risks. This involves the use of formulas, statistical analyses, or modeling to quantify the likelihood of risks and their potential impact on project objectives. Quantitative analysis is typically more structured and allows for the calculation of potential losses, probabilities, and risk exposure, providing a more detailed financial perspective of risk management.

In comparison to the other options, the focus on judgment and descriptive methods in qualitative analysis and the reliance on numerical data in quantitative analysis are what distinctly separate these two methodologies. The other options do not accurately capture this fundamental difference, as qualitative analysis is not limited to solely financial risks or external risks, and it does not only use numerical data. Instead, the true essence of these analysis

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Qualitative is used for financial risks, quantitative for operational risks

Qualitative is for external risks, quantitative is for internal risks

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