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Uncertainty propagation, addition, multiplication, power

Addition / subtraction: Δf = √(Δx₁² + Δx₂² + …)

Choose the operation (addition/subtraction, multiplication/division, or power), enter the values and their absolute uncertainties: the tool computes the result, its absolute uncertainty, its relative uncertainty in percentage, and displays the uncertainty propagation formula applied, for quantities measured independently of each other.

Absolute uncertainties combine by quadrature, regardless of the sign of the terms.

Quantity 1
Quantity 2

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What the tool computes, what it assumes, where it stops being valid, and where its data comes from.

Method & formulasAddition / subtraction: Δf = √(Δx₁² + Δx₂² + …)

Addition / subtraction: Δf = √(Δx₁² + Δx₂² + …)

Multiplication / division: Δf / |f| = √((Δx₁/x₁)² + (Δx₂/x₂)² + …)

Power: Δf / |f| = |n| × Δx / |x|

For quantities measured independently (uncorrelated errors), contributions to uncertainty combine by quadratic sum, not by simple addition: arithmetic summation of uncertainties systematically overestimates the actual uncertainty on the result.

x, Δx
· measured value and its absolute uncertainty, expressed in the same unit.
Absolute uncertainty
· uncertainty of the result expressed in the same unit as the quantity, denoted Δf.
Relative uncertainty
· ratio Δf / |f|, expressed as a percentage. Dimensionless, it allows comparison of the precision of measurements of different nature.
Independent quantities
· measurements whose errors are uncorrelated with each other: this assumption justifies the quadratic sum rather than simple addition of uncertainties.
Validity domainThe quadratic sum assumes quantities measured independently: if two measurements share the same source of error (same poorly calibrated instrument, for example), their uncertainties are correlated and this method underestimates the actual uncertainty.

The quadratic sum assumes quantities measured independently: if two measurements share the same source of error (same poorly calibrated instrument, for example), their uncertainties are correlated and this method underestimates the actual uncertainty. A relative uncertainty is undefined for a null quantity (division by zero in Δx/x): the tool flags this rather than returning a misleading value.

ExampleFor L = 12.

For L = 12.0 cm ± 0.1 cm and l = 5.0 cm ± 0.2 cm, the area A = L × l equals 60.0 cm². The relative uncertainty on A equals √((0.1/12.0)² + (0.2/5.0)²) ≈ 4.2%, hence an absolute uncertainty of approximately 2.5 cm²: A ≈ 60.0 ± 2.5 cm².