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How can the likelihood of a risk occurring be estimated when objective data is unavailable?

A. By relying on personal opinions and expert judgment.
B. By using a Perception Scale to visualize the risk.
C. By conducting extensive historical research.
D. By calculating the exact mathematical probability.

Sagot :

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Final answer:

Expert judgment and qualitative evaluations are crucial in estimating risk likelihood when objective data is lacking. Risk ranking methods can help prioritize risks based on potential impacts.


Explanation:

Expert judgment plays a key role in estimating the likelihood of a risk when objective data is unavailable. Decision-makers often rely on the expertise of individuals with relevant knowledge and experience in the field to make informed assessments. This subjective approach to risk analysis allows for the consideration of uncertainties and factors that may not be quantitatively measurable.

Additionally, qualitative evaluations and risk ranking methods can be utilized to prioritize risks based on their potential impacts and consequences, even in the absence of precise numerical data. By combining expert opinions, qualitative assessments, and risk-ranking techniques, decision-makers can gain insights into managing risks effectively.


Learn more about Risk estimation without objective data here:

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