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Science

A precise instrument can still be wrong

Archive 01349

Slide 1

Tightly grouped is not necessarily correct

Precision describes agreement among repeated measurements. A balance can give nearly identical readings while consistently reporting the wrong mass.

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Imagine a balance that was not zeroed before use. Repetition may produce a narrow cluster, but the whole cluster is displaced. More repeats alone do not remove that shared offset.

Slide 2

Separate scatter from bias

Random variation makes repeated results spread out. A systematic effect can shift many results together in the same direction.

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Temperature can change an instrument’s response over a day. Calling every discrepancy random would hide a pattern that could be measured and corrected, provided the relevant conditions were recorded.

Slide 3

Compare with a reference

Calibration compares an instrument’s indications with a reference. The comparison reveals how readings relate to values assigned by an established procedure.

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Calibration does not necessarily include adjustment. A laboratory can report a correction for the user to apply, together with uncertainty in that correction; changing the instrument is a separate operation.

Slide 4

Keep the uncertainty

Correcting a known offset improves a result, but the correction itself is uncertain. The reference and the measuring procedure both contribute.

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A reference mass is supplied with a value and associated uncertainty, not access to perfect truth. Its uncertainty joins effects such as resolution and repeatability in the final measurement budget.

Slide 5

Ask how the result was obtained

A trustworthy result needs more than many decimal places. Its method, reference chain and uncertainty make the number interpretable.

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Metrological traceability belongs to a measurement result through a documented chain of calibrations. A sticker on an instrument cannot guarantee that every later use, environment or calculation produces a traceable result.

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