You are the project manager of the CUL project in your organization.
You and the project team are assessing the risk events and creating a probability and impact matrix for the identified risks.
Which one of the following statements best describes the requirements for the data type used in qualitative risk analysis?
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A. B. C. D.B.
Answer: B. A qualitative risk analysis requires accurate and unbiased data if it is to be credible.
Explanation: Qualitative risk analysis is a method of analyzing the probability and impact of identified risks using non-numerical values, such as low, medium, and high, to describe the likelihood and impact of risks on a project.
In order for the qualitative risk analysis to be effective, the data used to evaluate the risks must be accurate and unbiased. Inaccurate or biased data can lead to incorrect conclusions about the risks, which can result in inadequate risk management planning and increased project failures.
Therefore, the best statement that describes the requirements for the data type used in qualitative risk analysis is that it must be accurate and unbiased to ensure the credibility of the analysis. This means that the data used to evaluate the risks should be based on facts and not influenced by personal opinions or subjective views.
Additionally, stakeholders' risk tolerances may also be taken into account during the qualitative risk analysis, but this does not imply that the data used in the analysis should be biased. The goal is to ensure that the risk analysis is as objective and unbiased as possible.