Which analysis uses beta and triangular distributions as a tool and technique?

Question

Options

• AQuantitative risk analysis
• BQualitative risk analysis
• CPerform quality assurance
• DPerform quality control

• A
  79% (27)
• B
  12% (4)
• C
  3% (1)
• D
  6% (2)

Explanation

Quantitative Risk Analysis (A) uses beta and triangular distributions as statistical tools to model uncertainty in probability and impact estimates. These distributions are applied in techniques like Monte Carlo simulation and PERT to assign ranges of possible values to risk variables, producing numerical probability outputs for project outcomes.

B (Qualitative Risk Analysis) is wrong because it ranks risks using subjective scales (high/medium/low) without statistical distributions - no mathematical modeling is involved.

C & D (Quality Assurance/Control) are wrong because they deal with process audits and product inspections respectively, not risk probability modeling.

Memory tip: Think "Quantitative = numbers = distributions." Beta and triangular distributions are about quantifying uncertainty with math, which maps directly to Quantitative risk analysis. If you see any statistical distribution named in a question, the answer is almost always quantitative, not qualitative.

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