How to Estimate Measurement Uncertainty with GUM
A measured value is incomplete without its uncertainty. This guide shows how to estimate measurement uncertainty step by step using the GUM, choose the coverage factor k correctly and make a sound conformity assessment against tolerance limits.
View measurement toolsWhat does measurement uncertainty mean under GUM?
Measurement uncertainty is the range within which the true value of a quantity lies with a stated probability. The GUM (Guide to the Expression of Uncertainty in Measurement, ISO/IEC Guide 98‑3) is the internationally accepted framework that defines how this uncertainty is determined and reported.
The GUM distinguishes two ways to evaluate a contribution. Type A uses statistical analysis of repeated measurements (standard deviation), while Type B draws on other sources such as calibration certificates, datasheets or manufacturer data. Both produce a standard uncertainty u that is processed the same way afterwards.
- Type A: standard deviation from n repeats, u = s / √n.
- Type B: converted from limits, e.g. rectangular distribution u = a / √3.
- Every influence quantity (instrument, temperature, operator, part) adds a contribution.
Why the calibration certificate is the basis of every Type B estimate.
Read the guideHow is the uncertainty budget calculated?
In the uncertainty budget every contribution is converted to the same standard uncertainty and added in quadrature to form the combined standard uncertainty u_c. This is multiplied by the coverage factor k to give the expanded uncertainty U = k · u_c.
The coverage factor k sets the desired confidence level. For an approximately normal combined uncertainty, k = 2 gives about 95 % and k = 3 about 99.7 % coverage. k = 2 is the default on calibration certificates and test reports.
- 1. Define the model equation and the influence quantities.
- 2. Convert each contribution into a standard uncertainty u_i.
- 3. Apply sensitivity coefficients and sum in quadrature: u_c = √(Σ u_i²).
- 4. Multiply by k: U = k · u_c, usually k = 2.
How do you assess conformity against tolerance limits?
Conformity assessment checks whether a measured value lies within the tolerance limits. Under ISO 14253‑1 the expanded uncertainty U is taken into account: the safe acceptance zone shrinks by U at both ends, and the safe rejection zone begins beyond the limit plus U.
Between them lies the uncertainty range, where no clear statement is possible. Charging the uncertainty to the supplier narrows the acceptance zone (strict rule); charging it to the customer widens it. This decision rule must be agreed and documented in advance.
Frequently asked questions
What is the difference between standard and expanded uncertainty?
The standard uncertainty u corresponds to one standard deviation (about 68 % coverage). The expanded uncertainty U = k · u_c is multiplied by k, usually k = 2 for about 95 %, and is the value stated on the test report.
Why is k = 2 usually chosen?
For an approximately normal combined uncertainty, k = 2 covers about 95 %. This value is the international standard for calibration certificates and conformity statements and keeps results comparable.
What does the decision rule in ISO 14253-1 say?
It defines how the expanded uncertainty is handled during conformity assessment. The strict rule narrows the acceptance zone by U at both limits, so only clearly conforming parts are accepted.
How large may the measurement uncertainty be relative to the tolerance?
As a rule of thumb the expanded uncertainty should be no more than a quarter of the tolerance width. This keeps the uncertainty zone narrow and lowers the risk of wrong decisions.
Looking for measurement tools with documented uncertainty?
We supply calibrated measuring and testing equipment with a calibration certificate at k = 2 - the basis for any sound uncertainty budget.
Calibrated on delivery
Instruments supplied with certificate and stated k factor.
GUM compliant
Uncertainty stated per ISO/IEC Guide 98-3.
Traceable
Traceable to national measurement standards.
Expert advice
Our specialists help with budgets and decision rules.