Which term describes the reproducibility of repeated measurements?

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Multiple Choice

Which term describes the reproducibility of repeated measurements?

Reproducibility of repeated measurements is about how close the results are to each other when you repeat the measurement. This is called precision. If you measure the same sample several times and get values that cluster tightly around a common value, the measurement is precise; if the results vary widely, precision is low. In practice, precision is described with statistics like the standard deviation or coefficient of variation—the smaller these are, the higher the precision. It’s possible for measurements to be precise but not accurate (consistently off from the true value by bias), just as they can be accurate on average but not precise (the results hit the true value on average but vary a lot). Calibration is the process of aligning measurements to a standard, and linearity describes how proportional the instrument’s response is across a range of concentrations. Neither term directly captures the repeatable closeness of measurements—that’s precision.

Reproducibility of repeated measurements is about how close the results are to each other when you repeat the measurement. This is called precision. If you measure the same sample several times and get values that cluster tightly around a common value, the measurement is precise; if the results vary widely, precision is low.

In practice, precision is described with statistics like the standard deviation or coefficient of variation—the smaller these are, the higher the precision. It’s possible for measurements to be precise but not accurate (consistently off from the true value by bias), just as they can be accurate on average but not precise (the results hit the true value on average but vary a lot).

Calibration is the process of aligning measurements to a standard, and linearity describes how proportional the instrument’s response is across a range of concentrations. Neither term directly captures the repeatable closeness of measurements—that’s precision.

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