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Measurement Uncertainty Budget Template

An Excel budget for one measurement. List every source of uncertainty, choose its distribution, and the sheet converts each to a standard uncertainty, combines them by root sum of squares, expands with your coverage factor and compares the result with the tolerance.

Who this template is for

Quality engineers, metrologists and calibration technicians who must state how good a measurement is, for an accredited scope, a customer request, a conformity decision near a limit, or a gauge selection.

When to use it

Standards it supports

How to use this template

  1. Define the measurand — write exactly what is measured, with what, and in which units, in the header.
  2. List the sources — add one row each for repeatability, the calibration certificate, resolution, temperature and any fixture or method effect.
  3. Enter value and distribution — type the half-width or standard deviation and pick the distribution; the divisor and standard uncertainty fill in.
  4. Add sensitivity coefficients — enter 1 when the source is already in result units, or the conversion factor when it is not (for example mm per °C).
  5. Read U and the TUR — check the expanded uncertainty and the test uncertainty ratio against the tolerance, and reduce the biggest contributor first if it falls short.

Tip: The % contribution column shows where to spend effort. Halving a source that contributes 3% changes almost nothing.

What's inside the template

1

Header

Measurand, instrument, result units, coverage factor k and the ± tolerance

2

Sources

One row per source with its Type A or B evaluation, value, unit and distribution

3

Conversion

Divisor from the distribution, sensitivity coefficient and standard uncertainty

4

Contribution

Each source in result units, squared, and its share of the total

5

Result

Combined standard uncertainty, expanded uncertainty, largest contributor and TUR

Example: a completed template

Example Budget for Example Precision Co., a fictional machine shop, measuring a 25 mm steel shaft diameter (tolerance ±0.010 mm) with a 0.001 mm outside micrometer. All values are invented for illustration; the expansion coefficient is a typical value for steel.

Budget

SourceTypeValueDistributionDivisorcᵢcᵢ·u (mm)Share
Repeatability (10 readings, 1 SD)A0.0012 mmNormal k=1110.0012048.5%
Calibration certificateB0.002 mmNormal k=2210.0010033.7%
Resolution (half of 0.001 mm)B0.0005 mmRectangular√310.000292.8%
Temperature deviation from 20 °CB2 °CRectangular√30.0002875 mm/°C0.000333.7%
Anvil flatness and parallelismB0.001 mmRectangular√310.0005811.2%

Result

Combined standard uncertainty uc0.00172 mm
Expanded uncertainty U (k = 2)0.0034 mm
Largest contributorRepeatability
TUR2.9 : 1

The math in this Example

How to fill in each field

FieldWhat to enterExample
Coverage factor kUsually 2, for roughly 95% coverage when the result is close to normal. State it with every expanded uncertainty.2
Tolerance (±)Half the tolerance width, in result units. Used only for the TUR.0.010
TypeA if you evaluated it statistically from your own readings; B if it comes from a certificate, a spec sheet or judgment.B
ValueFor Normal k=1, one standard deviation. For a certificate, the stated expanded uncertainty with its k. For rectangular, the half-width of the limits.0.0005
DistributionNormal k=2 or k=1, Rectangular, Triangular or U-shaped. The divisor follows from it.Rectangular
Sensitivity coefficient cᵢHow much the result changes per unit of this source. 1 when the value is already in result units.0.0002875
Standard uncertainty (calculated)Value ÷ divisor, in the source’s own units.0.000289
% contribution (calculated)This row’s squared contribution as a share of the total. Work on the biggest first.48.5%

Common mistakes

Frequently asked questions

What is the difference between standard and expanded uncertainty?

Standard uncertainty is one standard deviation. Expanded uncertainty multiplies the combined standard uncertainty by a coverage factor k, usually 2, to give an interval with a stated level of confidence.

What is a good TUR?

A 4 : 1 ratio is a widely used target. Below that, measurement uncertainty takes up a large part of the tolerance and you need a decision rule, such as guard bands, for results near the limits.

Why divide a rectangular value by √3?

If any value between the limits is equally likely, the standard deviation of that distribution is the half-width divided by √3.

Is this the same as a gauge R&R?

No. A gauge R&R estimates repeatability and reproducibility from a study. An uncertainty budget combines every source, including calibration and environment. Gauge R&R results can feed the budget as Type A entries.

Can sources be correlated?

Yes, and then root sum of squares understates or overstates the result. This sheet assumes independent sources; correlated inputs need covariance terms from the GUM.

See also

COPLAIN AI PLATFORM

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Coplain writes the measurement procedure behind your budget as a clear work instruction, so the readings that feed it are taken the same way every time.

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