Short Answer
Significant figures are a compact convention for expressing measurement precision. They are not a full uncertainty model. The Guide to the Expression of Uncertainty in Measurement (GUM) provides the rigorous path: assign standard uncertainties to input quantities, propagate them through the measurement function, and report a combined standard uncertainty. This reference explains how sig figs relate to GUM, where they agree, and where they fail. For quick arithmetic, use our significant figures calculator; for the rules behind it, see Significant Figures Rules.
Rule Statement: From Sig Figs to GUM
The GUM approach begins with a measurement model y = f(x1, x2, …, xn). Each input xi has a standard uncertainty u(xi). For independent inputs, the combined standard uncertainty is:
uc(y) = √[ Σ ( ∂f/∂xi )2 u2(xi) ]
This is given in GUM clause 5.1.2. If inputs are correlated, covariance terms must be added: uc2(y) = Σ ( ∂f/∂xi )2 u2(xi) + 2 Σi<j ( ∂f/∂xi )( ∂f/∂xj ) u(xi, xj). Expanded uncertainty is U = k uc, with coverage factor k (GUM 5.2.2). When reporting, round uc or U to one or two significant digits, round the result to the same decimal place, and state k (GUM 7.2.2). Significant figures are a coarse approximation: the last retained digit implies an uncertainty of roughly half a unit in that place. ISO 80000-1:2022 clause 7.3.3 advises against giving more digits than justified. ASTM E29-22 governs rounding test data for conformance decisions.
Worked Examples
Example 1: Density from mass and volume
Model: ρ = m/V. Let m = 12.345 g with u(m) = 0.002 g, and V = 5.00 mL with u(V) = 0.02 mL. Assume independence.
- Relative uncertainty in mass: u(m)/m = 0.002/12.345 = 1.62 × 10-4.
- Relative uncertainty in volume: u(V)/V = 0.02/5.00 = 4.0 × 10-3.
- Combined relative uncertainty: √[(1.62 × 10-4)2 + (4.0 × 10-3)2] = 4.003 × 10-3.
- Result: ρ = 12.345/5.00 = 2.469 g/mL.
- Combined standard uncertainty: uc = 0.004003 × 2.469 = 0.00988 g/mL.
Round uc to 0.010 g/mL. Report ρ = 2.469 g/mL, uc = 0.010 g/mL, or 2.469(10) g/mL. The last digit of the result is in the thousandths place, matching the uncertainty.
Example 2: Sum of lengths
Model: L = L1 + L2 + L3. Let L1 = 12.34 cm with u = 0.01 cm; L2 = 5.6 cm with u = 0.1 cm; L3 = 0.789 cm with u = 0.001 cm.
- Sum: 12.34 + 5.6 + 0.789 = 18.729 cm.
- Combined standard uncertainty: √(0.012 + 0.12 + 0.0012) = 0.1005 cm ≈ 0.10 cm.
- Report: 18.73 cm ± 0.10 cm.
Note that a strict significant-figures addition rule would round to 18.7 cm because 5.6 has only one decimal place. The GUM result uses the actual input uncertainties and can retain more information when those uncertainties justify it.
Counter-Examples: Common Misapplications
- Adding standard uncertainties linearly: Two independent contributions of 0.1 each give 0.1 + 0.1 = 0.2, but quadrature gives √(0.12 + 0.12) = 0.141. Linear addition overstates uncertainty.
- Rounding intermediate values: Rounding 2.469 to 2.47 before propagating changes uc. Carry extra digits until the final report.
- Treating exact conversions as uncertain: 1 inch = 2.54 cm exactly. It contributes no uncertainty.
- Ignoring correlation: Using the same thermometer for two temperatures creates correlated inputs. The covariance term can increase or decrease uc.
- Mismatched decimal places: Reporting 2.469 ± 0.01 g/mL when uc = 0.00988 g/mL is inconsistent. Either report 2.47 ± 0.01 g/mL or 2.469 ± 0.010 g/mL.
Convention Comparison Table
| Aspect | Significant Figures | GUM Uncertainty |
|---|---|---|
| Basis | Counting digits and rounding conventions | Measurement model and probability distributions |
| Propagation | Addition: least decimal place; multiplication: least sig figs | Quadrature of sensitivity coefficients times standard uncertainties |
| Correlation | Usually ignored | Explicit covariance terms |
| Reporting | Result rounded to inferred precision | Uncertainty to 1-2 sig figs; result to same decimal place |
| Exact numbers | Infinite sig figs | Zero uncertainty contribution |
| Best use | Quick estimates, teaching, routine data | Metrology, calibration, conformity, research |
Standards Citation
- JCGM 100:2008 (GUM): clauses 5.1.2 (combined standard uncertainty), 5.2.2 (expanded uncertainty), 7.2.2 (reporting uncertainty).
- NIST Technical Note 1297: Guidelines for Evaluating and Expressing the Uncertainty of NIST Measurement Results, sections 2-5.
- ISO 80000-1:2022: Quantities and units, clause 7.3.3 on significant digits and rounding.
- ASTM E29-22: Standard Practice for Using Significant Digits in Test Data to Determine Conformance with Specifications.
- BIPM SI Brochure, 9th edition: section 5.4.1 on measurement uncertainty and significant figures.
Common Mistakes
- Confusing significant figures with decimal places.
- Using sig-fig propagation rules when actual standard uncertainties are available.
- Rounding the uncertainty too aggressively to one significant digit when two are justified.
- Forgetting the coverage factor k; uc is not the same as expanded uncertainty U.
- Mixing standard uncertainty and expanded uncertainty in a report.
- Reporting an uncertainty budget with more digits than the inputs support.
- Assuming all inputs are independent without checking correlation.
Quick Reference Table
| Step | Action | Reference |
|---|---|---|
| 1 | Define the measurement model y = f(xi) | GUM 4 |
| 2 | Assign standard uncertainty u(xi) to each input | GUM 4.2-4.4 |
| 3 | Compute sensitivity coefficients ∂f/∂xi | GUM 5.1.2 |
| 4 | Combine by quadrature (and covariance if needed) | GUM 5.1.2, 5.2.2 |
| 5 | Choose coverage factor k for expanded uncertainty | GUM 6 |
| 6 | Round uncertainty to 1-2 sig figs; round result to same decimal place | GUM 7.2.2; ISO 80000-1 7.3.3 |
Sources & Further Reading
- JCGM 100:2008. Evaluation of measurement data — Guide to the expression of uncertainty in measurement. BIPM, IEC, IFCC, ILAC, ISO, IUPAC, IUPAP, OIML.
- Taylor, B. N., & Kuyatt, C. E. (1994). Guidelines for Evaluating and Expressing the Uncertainty of NIST Measurement Results. NIST Technical Note 1297.
- ISO 80000-1:2022. Quantities and units — Part 1: General. International Organization for Standardization.
- ASTM E29-22. Standard Practice for Using Significant Digits in Test Data to Determine Conformance with Specifications. ASTM International.
- BIPM. (2019). The International System of Units (SI), 9th edition. Bureau International des Poids et Mesures.
Related Rules
FAQ
Are significant figures still useful?
Yes. They are valuable for quick estimates, teaching, and situations where a full uncertainty budget is unavailable. For formal metrology and conformity, the GUM approach is preferred.
How many significant figures should an uncertainty have?
The GUM recommends one or two significant digits for the uncertainty (GUM 7.2.2). The measurement result should be rounded to the same decimal place as the uncertainty.
Can I use significant-figure rules for addition and subtraction?
Only as an approximation. The GUM propagates actual standard uncertainties in quadrature, which can give a different, more defensible result.
What is combined standard uncertainty?
It is the standard uncertainty of the measurement result obtained by combining the standard uncertainties of all input quantities through the measurement model. It is denoted u_c(y) in the GUM.

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