How small should measurement uncertainty be? Eurachem explains how target measurement uncertainty helps laboratories ensure results are fit for purpose and support reliable decisions.

How should laboratories handle a significant measurement bias? This Eurachem leaflet explains when correction is justified and how an uncorrected bias may affect measurement uncertainty.

Learn when repeated measurements reduce standard uncertainty, when Equation (1) applies, and how to correctly evaluate uncertainty for grouped, correlated, and time-dependent analytical data.

In this leaflet we present the Eurachem/CITAC guide on how to assess compliance with a specification or a regulation.

In this leaflet we explain the concept of metrological traceability and illustrate how a laboratory can demonstrate the traceability of its results.

Learn why measurement uncertainty is essential for interpreting analytical results, making reliable decisions, comparing laboratory data, and ensuring compliance with modern testing standards.

Learn how interlaboratory comparisons (ILCs) other than proficiency testing differ from PT schemes, their intended purposes, limitations, and how they support ISO/IEC 17025 compliance.

Interlaboratory comparisons, proficiency testing, ring tests, and round robins are often confused. Learn the correct terminology, key differences, and the importance of harmonized language in quality assurance.

Learn how proficiency testing providers assign reference values, estimate uncertainties, calculate performance scores, and interpret z, zeta, En, and percentage difference results.

Learn how proficiency testing providers calculate assigned values, uncertainty, and data dispersion, and how these statistics help laboratories interpret PT results correctly.