CSSLP Exam Preparation

Of all the choices only this answer is accurate.

The PMBOK clearly states that the data must be accurate and unbiased to be credible.

Answer: D is.

The most appropriate answer for this question is C. A qualitative risk analysis requires accurate and unbiased data if it is to be credible.

Qualitative risk analysis is a process that assesses the likelihood and impact of identified risks to determine their overall risk priority. The analysis is typically based on subjective judgments of the likelihood and impact of each identified risk, made by project team members, stakeholders, or subject matter experts.

The probability and impact matrix is a tool used in qualitative risk analysis to map the likelihood of a risk event occurring and the impact it would have on the project's objectives. It is typically based on a scale of low, medium, and high for both likelihood and impact.

For the qualitative risk analysis to be credible, the data used to assess the risks must be accurate and unbiased. Biased data can lead to incorrect risk assessments and decisions. It can also lead to conflicts between stakeholders and project team members, which can have a negative impact on the project's success.

Unbiased data, on the other hand, is data that is free from any prejudice or preconceptions. It is based solely on facts and observations, without any personal opinions or biases. Unbiased data helps to ensure that the risk assessments are objective and credible.

In summary, accurate and unbiased data is essential for a credible qualitative risk analysis. It helps project teams to make informed decisions and minimize the risk of conflicts and errors.