A-Level · 15 September 2026 · 7 min read
Edexcel IAL Physics Unit 3 and Unit 6: how to revise practical skills
Updated 25 September 2026
Unit 3 and Unit 6 assess what you understand about doing physics experiments. Learning an apparatus list is only the beginning: you need to explain how measurements become evidence and how limitations affect the conclusion.
In the current Edexcel International A-Level specification, WPH13 and WPH16 are written practical-skills papers, each lasting 1 hour 20 minutes and carrying 50 marks. Preparing for a written assessment should still include practical experience through your school or supervised course.
What changes from Unit 3 to Unit 6?
Unit 3 draws on practical skills developed with Units 1 and 2. Unit 6 develops these further with Units 4 and 5; it includes logarithmic graph analysis and combining percentage uncertainties. Unit 3 includes single-measurement uncertainty but does not require compounding percentage uncertainties.
Keep the right paper code on your practice folder. These are Edexcel International A-Level units, not Cambridge Paper 3 or Paper 5, and not the UK A-Level practical endorsement. Similar experiments do not make the assessment rules interchangeable.
Use an experiment record you can reconstruct
For each experiment, create a short record with the physical relationship at the top. Follow it with a labelled apparatus sketch, the quantities measured, the variables controlled, a blank results table and the graph or calculation that would answer the question.
Then close the record and reconstruct it. If you remember the equipment but cannot say what the gradient means, that is the next part to revise. If you can do the calculation but do not know how a reading was obtained, revisit the measurement method.
Keep observations from real supervised practicals alongside the summary. A clamp that slipped, an unstable reading or a warm resistor gives a concrete reason for a methodological improvement. Generic lists of errors are less useful than understanding what happened in the actual setup.
Plan backwards from the relationship you will test
Consider an original example: investigating the resistance of a uniform wire as its length changes. At constant material, cross-sectional area and temperature, R = ρL/A predicts a straight-line graph of R against L, with gradient ρ/A.
That relationship tells you what the plan needs. Change the measured length between contacts, obtain voltage and current to calculate R = V/I, and keep the wire’s material and diameter fixed. Limit heating and allow the wire to return to a consistent temperature so that a change in resistance is not confused with a temperature change.
A complete plan also considers contact positions, a useful spread of lengths, repeat measurements where appropriate and the suitability of the meters. In a school experiment, follow the teacher’s low-voltage circuit and safety instructions. Writing ‘be careful’ does not identify a hazard or a control.
Make graph work part of the physics
Suppose two well-separated points on a best-fit resistance–length line are (0.20 m, 1.5 Ω) and (0.80 m, 4.5 Ω). Its gradient is (4.5 − 1.5)/(0.80 − 0.20) = 5.0 Ω/m. Use the line, not two convenient raw measurements that happen to fall away from it.
For the model R = ρL/A, multiply this gradient by the cross-sectional area to obtain resistivity. With an assumed area of 2.0 × 10⁻⁷ m², the result is 1.0 × 10⁻⁶ Ω m. The non-zero intercept suggests an additional contribution, such as a constant series or contact resistance, or another limitation to investigate. Do not force the line through the origin merely because the ideal model predicts it.
For Unit 6, practise transforming a relationship before plotting. If y = Cxⁿ, then log y = log C + n log x, so a log–log gradient gives n. Use one logarithm base consistently and understand what the axes represent. A straight-looking graph alone is not a complete physical conclusion.
Match each improvement to a particular limitation
Start with the measurement that is weak, identify the cause, and say how the change would help. ‘Use better equipment’ does not explain which reading improves. ‘Measure several oscillations and divide the total time by their number’ explains a method, but you should also connect it to reducing the relative effect of timing uncertainty.
Repeating readings can reveal scatter and reduce its influence when averaging is appropriate. It does not remove an uncorrected zero offset. Likewise, a smaller display interval does not automatically solve heating, poor alignment or the wrong model.
- —Scattered readings: investigate the cause, repeat appropriately and judge the spread.
- —Zero offset: check calibration and correct the reading when the offset is known.
- —A narrow measurement range: extend it where the apparatus, model and safety limits allow.
- —An inconsistent point: check the measurement or transcription; do not discard it solely because it is inconvenient.
A practical revision session with a clear endpoint
Choose one experiment and spend ten minutes reconstructing its method. Then answer a planning or evaluation question from your own unit, complete a graph or uncertainty calculation, and compare the reasoning with the official mark scheme.
Finish by writing one corrected explanation in the context of that experiment. Try a different context next time. Progress means recognising why a method works and transferring that reasoning, rather than reproducing a memorised paragraph whenever ‘uncertainty’ appears.
Questions, explained
Choose a question for a direct answer, then explore the explanation and supporting resources. Each answer has its own link to save or share.
How do I answer a practical-skills question about an experiment I have not memorised?
Start from the relationship being investigated: identify what changes, what is measured and what must remain controlled. Then work out how the measurements test the relationship. Familiar graph, uncertainty and evaluation skills often transfer even when the apparatus or context looks new.
If a question proposes y = kx, a plot of y against x should have gradient k within the model. That tells you why a useful spread of x values matters and what you would calculate from the line. Do not invent readings or assume the line passes through the origin when the evidence suggests an offset. Explain the apparatus choices in terms of the actual quantities measured.
How do I estimate uncertainty in a graph gradient?
Use the method requested in the question. Where error bars support acceptable extreme lines, compare their gradients with the best-fit gradient or use the stated range convention. Draw plausible steep and shallow lines consistent with the uncertainties; arbitrary lines do not give a meaningful estimate.
For example, suppose the accepted gradient range is 4.6 to 5.4 in the relevant units. Using half the range gives an absolute uncertainty of (5.4 − 4.6)/2 = 0.4. If the central gradient is 5.0, the corresponding percentage uncertainty is 0.4/5.0 × 100 = 8%. State the convention you used and retain the gradient's units. A graph without supplied error bars may require different guidance.
What do the gradient and intercept of a log–log graph mean?
For a power relationship y = Cxⁿ, plotting log y against log x gives gradient n and intercept log C, using a consistent logarithm base and fixed units. The gradient is the power, not the original proportionality constant C. Recover C by reversing the logarithm.
Suppose a base-10 plot of numerical values has equation log₁₀ y = 2 log₁₀ x + 0.301. The power is 2 and C = 10^0.301 ≈ 2.0, so the original relationship is approximately y = 2x² in the chosen units. More precisely, logarithmic axes refer to dimensionless ratios to the stated units. Changing those reference units can shift the intercept while leaving the power unchanged.
Do I need to combine percentage uncertainties for IAL Unit 3?
The Edexcel IAL specification distinguishes the units: Unit 3 includes uncertainty in individual measurements, while combining percentage uncertainties is part of Unit 6. Learn the scope of the unit you are sitting and follow the instructions in the actual question.
For a single time of (20.0 ± 0.2) s, the percentage uncertainty is 0.2/20.0 × 100 = 1.0%. Combining that time with a separately measured distance to estimate uncertainty in a calculated speed introduces a further operation. Keep those two tasks distinct in your revision notes, so you understand the foundation before applying the combination rules used later.