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Multiple Choice

Define accuracy in the context of measurement verification.

Accuracy is how close a measurement is to the true value. It reflects the size of the error between what you measure and the actual quantity, including any bias and random variation. In measurement verification, you judge accuracy by comparing readings to a known reference or standard. A reading that matches the true value has perfect accuracy; small differences indicate high accuracy, while larger differences indicate poorer accuracy. The other ideas describe repeatability (how consistent measurements are when repeated under the same conditions), calibration intervals (how often you recalibrate), and traceability (linking measurements to an established standard). Those concepts support accuracy, but accuracy itself is defined by closeness to the true value.

Accuracy is how close a measurement is to the true value. It reflects the size of the error between what you measure and the actual quantity, including any bias and random variation. In measurement verification, you judge accuracy by comparing readings to a known reference or standard. A reading that matches the true value has perfect accuracy; small differences indicate high accuracy, while larger differences indicate poorer accuracy. The other ideas describe repeatability (how consistent measurements are when repeated under the same conditions), calibration intervals (how often you recalibrate), and traceability (linking measurements to an established standard). Those concepts support accuracy, but accuracy itself is defined by closeness to the true value.