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Velocity graphs reveal momentum changes Gradients and areas connect motion to data analysis A force–time graph measures impulse A straight-line graph reveals a source’s properties Compare a result with evidence, not just an accepted number Use limitations to improve the next experiment A spring experiment tests both a model and a gradient Practical skills1.1 Planning1.1.1 Analysing1.1.3 Evaluating1.1.4 Kinematics3.1.1 Newton’s laws of motion3.5.1 Internal resistance4.3.2 Force–extension graphs
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Compare a result with evidence, not just an accepted number

OCR A AS Physics · Two ideas, one explanation

Data analysis produces a result and its uncertainty. Evaluation asks whether that result supports the proposed relationship and what limitations remain.

Result ± uncertainty → justified conclusion

Follow the reasoning

  1. Fit the appropriate relationship to the data.
  2. Assess scatter, anomalies and uncertainty.
  3. Compare the result with the prediction and state a qualified conclusion.
Specification outcomes (5)
  • 1.1.3(a) Processing, analysing and interpreting qualitative and quantitative experimental results.
  • 1.1.3(d)(ii) Measurement of gradients and intercepts from experimental results.
  • 1.1.4(a) How to evaluate results and draw conclusions.
  • 1.1.4(b) Identification of anomalies in experimental measurements.
  • 1.1.4(d) Precision and accuracy of measurements and data, including margins of error, percentage errors and uncertainties in apparatus.
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H156 v2.0 · May 2026

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