PRA is a mathematical model based on industry-generic data for critical components.

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Multiple Choice

PRA is a mathematical model based on industry-generic data for critical components.

Explanation:
Probabilistic Risk Assessment relies on combining structured models with data to estimate risk, and it depends on information specific to the plant’s design, configuration, and operating practices. While industry-generic reliability data can help fill gaps, PRA is not based solely on that generic data. The plant’s unique wiring, maintenance history, testing results, and system interactions shape the results, so plant-specific inputs are essential for meaningful risk estimates. If you relied only on generic data, you’d risk misrepresenting the true risk of critical components. That’s why the statement is false.

Probabilistic Risk Assessment relies on combining structured models with data to estimate risk, and it depends on information specific to the plant’s design, configuration, and operating practices. While industry-generic reliability data can help fill gaps, PRA is not based solely on that generic data. The plant’s unique wiring, maintenance history, testing results, and system interactions shape the results, so plant-specific inputs are essential for meaningful risk estimates. If you relied only on generic data, you’d risk misrepresenting the true risk of critical components. That’s why the statement is false.

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