Bounding estimates in uncertainty analysis means:

• A. Providing a single precise estimate
• B. Providing upper and lower bounds to express uncertainty
• C. Assuming the worst-case scenario exclusively
• D. Discarding uncertain data entirely

Answer: (B)

Bounding estimates in uncertainty analysis means expressing uncertainty by providing upper and lower bounds. This brackets the possible values a quantity can take after accounting for variability in inputs, models, or measurements, rather than pinning it to a single number. The range communicates how large the uncertainty is and supports more informed decisions by showing both best-case and worst-case outcomes, so stakeholders can weigh risks and make plans that are robust to the variability in the system.

A single precise estimate hides how much the true value could vary, which can mislead when uncertainty is present. Relying only on the worst-case scenario can be excessively conservative and ignore more likely outcomes that lie within a plausible range. Discarding uncertain data entirely removes valuable information about what could happen, narrowing conclusions and potentially biasing results.