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Error Propagation Calculator

Propagate measurement uncertainties through addition, subtraction, multiplication, and division with quadrature formulas.

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What Is Error Propagation?

Error propagation estimates how measurement uncertainties combine when you add, subtract, multiply, or divide quantities. If you measure two lengths with known uncertainties, this tool computes the uncertainty of their sum, difference, product, or quotient. For converting between absolute and percent uncertainty on a single value, see the Absolute Uncertainty Calculator.

Propagation Formulas

For addition and subtraction, uncertainties combine in quadrature:

$$\Delta Z = \sqrt{(\Delta X)^2 + (\Delta Y)^2}$$

For multiplication and division, relative errors combine the same way:

$$\Delta Z = |Z| \cdot \sqrt{\left(\frac{\Delta X}{X}\right)^2 + \left(\frac{\Delta Y}{Y}\right)^2}$$

Example: Adding Two Rod Lengths

Rod A: $2.00 \pm 0.03$ m. Rod B: $0.88 \pm 0.04$ m. Sum $Z = 2.88$ m. Propagated uncertainty: $\Delta Z = \sqrt{0.03^2 + 0.04^2} = 0.05$ m. Result: $2.88 \pm 0.05$ m.

Frequently Asked Questions

Why add errors in quadrature instead of directly?

Independent random errors partially cancel. Quadrature (root sum of squares) reflects that independent uncertainties do not always align in the same direction.

Can I use this for subtraction?

Yes. Subtraction uses the same quadrature formula as addition because uncertainty depends on magnitude, not sign.

What if X or Y is zero during division?

Relative error formulas require non-zero denominators. The calculator will prompt you when inputs are invalid for the selected operation.

Do uncertainties need the same units?

For addition and subtraction, X, Y, and their uncertainties must share the same unit. For multiplication and division, relative uncertainties are unitless ratios.

What uncertainty do two 1% errors produce when added?

$\sqrt{0.01^2 + 0.01^2} \approx 0.0141$, or about 1.41% combined relative uncertainty.

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