IPhO experimental skills
Uncertainty, error propagation, graphing and fitting, and writing clear conclusions under exam conditions for olympiad preparation.
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Before you begin
An experimental result connects a physical model to measurements with stated uncertainties and limitations. These lessons develop that chain: choose a method, preserve relevant information in a graph or fit, test calibration and assumptions, then write the conclusion the evidence supports.
Be comfortable with: the O-Level practical skills, A-Level practical Q&a, accuracy, precision and measurement errors and the IPhO problem-solving framework.
Learning goals
- Apply experimental skills models and problem-solving methods in competition settings.
Lessons
Work through them in order.
Build the bridge
Build the official core
- Data fitting and linearisationLinearise a relationship and read physical parameters from the gradient and intercept of a fit.
- Plotting, error bars and significant figuresDraw exam-quality graphs with sensible scales, error bars and best-fit lines, and round results correctly.
- Writing the experimental solutionPresent diagrams, tables, graphs, calculations and conclusions that earn marks under time pressure.
Transfer to unfamiliar problems
Practise and check
Topic reference
What you should be able to do
- Propagate measurement uncertainty and report values with precision justified by the data.
- Choose a graph or linearisation that makes the target parameter and its uncertainty interpretable.
- Design, calibrate and evaluate a method by identifying dominant random and systematic limitations.
Official scope: Stages skills drawn from the official experimental requirements and should be trained throughout the theory programme, not left to the end.
Training habits
- When you draw a graph, state what the gradient represents and how it gives the requested physical parameter.
- Distinguish a bound, a standard uncertainty and a coverage interval before comparing values.
- Investigate a plausible bias by predicting its effect and naming evidence that could test it; do not invent a systematic error just to fill an evaluation.