S1.3.4—Uncertainties

Syllabus
First assessment 2025
Objective
S1.3.4
Level
SL

Propagate Uncertainties

Uncertainty states a range, not a mistake

Write a measured result as x±Δxx\pm\Delta x in matching units. The absolute uncertainty is Δx\Delta x; fractional uncertainty is Δx/x\Delta x/x; percentage uncertainty is (Δx/x)×100%(\Delta x/x)\times100\%.

z=x\pm y:\quad \Delta z=\Delta x+\Delta yz=\frac{x^a}{y^b}:\quad \frac{\Delta z}{z}=|a|\frac{\Delta x}{x}+|b|\frac{\Delta y}{y}

Worked propagation

For L=(2.00±0.01)mL=(2.00\pm0.01)\,\text{m} and W=(1.00±0.01)mW=(1.00\pm0.01)\,\text{m}, A=LW=2.00m2A=LW=2.00\,\text{m}^2. The fractional uncertainty is 0.01/2.00+0.01/1.00=0.0150.01/2.00+0.01/1.00=0.015, or 1.5%1.5\%. Therefore ΔA=0.015×2.00=0.03m2\Delta A=0.015\times2.00=0.03\,\text{m}^2, so A=(2.00±0.03)m2A=(2.00\pm0.03)\,\text{m}^2.

Powers multiply fractional uncertainty

If Vr3V\propto r^3 and rr has 2%2\% uncertainty, VV has 3×2%=6%3\times2\%=6\% uncertainty under the syllabus propagation rule. For addition or subtraction, add absolute uncertainties instead—never percentage uncertainties.

Report sensible precision

Round the uncertainty first, then round the measured value to the same decimal place. A small difference between two measured values can have a large percentage uncertainty even when both original measurements look precise.

S1.3.4 Exam Analysis

Assessment in practice

1–3 marks
How it is assessed

Questions calculate absolute uncertainty in a derived quantity or percentage uncertainty in a change of speed.

Command terms

Determine / Calculate

What earns marks

Choose the correct rule, show the fractional sum, then convert to the requested uncertainty form.

Watch for

Using percentage addition for a difference or forgetting that subtracting close values can amplify percentage uncertainty.

Retrieve Mathematical Practice

Calculate carefully

Rearrange symbolically, resolve vectors, convert units and use proportional reasoning before substituting.

Report evidence

Propagate uncertainty with the correct operation, then use labelled graphs, error bars, gradients, intercepts and areas to test the model.