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Resources/Featured article

NIST’s reference-material examples explain why an uncertainty interval can be uneven.

By S7 Sciences Research DeskUpdated October 7, 20262 min read
S7 Sciences
The short version

Preserve the reported interval instead of forcing every measurement into a symmetric plus-or-minus form.

Featured original sourceS7 adaptation and commentary

Evaluating, Expressing, and Propagating Measurement Uncertainty for NIST Reference Materials

Antonio M. Possolo

National Institute of Standards and Technology, Special Publication 260-202 · July 29, 2020

“not centered at the measured value”

The article below is an original S7 Sciences summary and analysis. The quoted passage is brief and attributed; the complete original remains with its author and publisher.

Read the complete original source

Look at both endpoints

NIST’s reference-material guide includes measurement intervals that are not centered on the stated value. Section 7.3 explains how asymmetric probability distributions can lead to unequal distances on either side. A familiar plus-or-minus format is therefore not always the clearest way to preserve what a certificate reports.

A small arithmetic example

Imagine a purely illustrative, unitless estimate of 10 with an interval from 8 to 13. The lower distance is 2 and the upper distance is 3. Rewriting it as 10 ± 2.5 would instead give 7.5 to 12.5. Using 10.5 ± 2.5 preserves the endpoints but changes the stated estimate. Neither rewrite preserves all three original numbers.

Why this matters for concentration math

When a calculation uses measured inputs, copying only the central number can discard useful information. Before comparing two laboratory reports, keep their units, interval endpoints and stated coverage information together. Do not silently supply a probability level or an uncertainty model that the report does not provide.

Read the certificate on its own terms

NIST provides worked methods for handling and propagating such uncertainty. Our example only demonstrates bookkeeping; it is not a laboratory recipe, a statistical fit or evidence about any vendor’s product. The official 2020 guide is newly featured today. The artwork is symbolic rather than a plotted dataset.

Evidence summary, not treatment guidance

This article is educational and does not contain medical advice, dosing, administration, or cycling instructions. Research-use-only products are not intended for human or veterinary use.

Primary and authoritative sources

Read the evidence behind this article.

Evaluating, Expressing, and Propagating Measurement Uncertainty for NIST Reference MaterialsAntonio M. PossoloNational Institute of Standards and Technology, Special Publication 260-202

Official PDF reviewed, particularly section 7.3 and examples 7.3.a–c. DOI: 10.6028/NIST.SP.260-202. Numerical teaching example is S7-authored.

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