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Measurement Uncertainty

Definition

A quantitative statement of the range within which the true value of a measurement lies, at a stated confidence level (typically 95%, k=2). Required for all quantitative results under ISO/IEC 17025:2017 Clause 7.6. Calculated by combining random error (precision RSD) with systematic error (accuracy/trueness) and calibration contributions.

Standard confidence level
95% (k=2), as required by ISO/IEC 17025:2017
Required by
ISO/IEC 17025:2017 Clause 7.6 for accredited forensic labs
Reported as
Plus-or-minus range or confidence interval around the measured value

Common questions

What is measurement uncertainty in forensic testing?+

Measurement uncertainty is the quantified range around a reported result within which the true value plausibly lies. It accounts for all known sources of error, including instrument precision, calibration standards, replicate variability, and analyst technique. Labs report it as a plus-or-minus value or confidence interval.

Why do forensic labs have to report measurement uncertainty?+

ISO 17025 requires accredited labs to estimate and state measurement uncertainty for all quantitative results. It tells courts and users how much confidence to place in a measurement. Without it, numbers look artificially precise.

How is measurement uncertainty calculated?+

Labs combine random error (precision, measured by relative standard deviation) with systematic error (accuracy and trueness) and calibration contributions. The result is typically reported at a 95% confidence level, meaning that 95% of intervals constructed this way will contain the true value.

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