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Calibration Measurement Uncertainty Calculator

Build a simple uncertainty budget for a calibration point. Repeat readings give the Type A term; the reference standard, instrument resolution and any other known limits give Type B terms.

Type AType BExpanded uncertaintyk = 2
Expanded uncertainty U (k = 2)± 0.0165
Combined standard uncertainty0.00823
Mean of readings10.016
Standard deviation0.0114
How this result was calculated
  1. Type A: u = s ÷ √n = 0.0114 ÷ √5 = 0.0051
  2. Type B: reference U/2, resolution ÷ (2√3), other ÷ √3
  3. uc = √(Σu²) = 0.00823, U = 2 uc = ± 0.0165

Uncertainty budget

SourceTypeDistributionStandard uncertainty
RepeatabilityANormal0.0051
Reference standardBNormal (k = 2)0.005
ResolutionBRectangular0.00289
OtherBRectangular0.00289
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GUM Uncertainty Method (Simplified)

uA = s ÷ √n
uref = Uref ÷ 2, ures = resolution ÷ (2√3), urect = a ÷ √3
uc = √(Σui²), U = k × uc

This assumes uncorrelated inputs with sensitivity coefficients of 1, which suits most direct comparisons. k = 2 gives about 95 % coverage.

Worked example

Five readings with s = 0.0114, a reference U of 0.01, resolution 0.01 and another ± 0.005 limit give uc ≈ 0.0082 and U ≈ ± 0.016.

Key insight: resolution alone sets a floor on uncertainty. A display with 0.1 resolution can never give an uncertainty below about 0.06 (k = 2), however good the reference.
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Frequently Asked Questions

What is Type A uncertainty?

Uncertainty evaluated statistically from repeated measurements, usually the standard deviation of the mean.

What is Type B uncertainty?

Uncertainty from other information, such as calibration certificates, specifications and resolution, converted to a standard uncertainty.

Why divide by √3?

For a rectangular distribution with half width a, the standard deviation is a ÷ √3.

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