OCR A-Level Physics A H556
Practical Skills in the Written Papers
The Practical Endorsement
Physical Quantities and Units
Making Measurements and Analysing Data
Nature of Quantities
Motion
Forces in Action
Work, Energy and Power
Materials
Newton’s Laws of Motion and Momentum
Charge and Current
Energy, Power and Resistance
Electrical Circuits
Waves
Quantum Physics
Thermal Physics
Oscillations
Gravitational Fields
Astrophysics and Cosmology
Capacitors
Electric Fields
Electromagnetism
Nuclear and Particle Physics
Practical Skills in the Written Papers
Evaluating results and procedures
- 2 things to know
- All three papers
Overview
Recall questions on anomalies, precision and accuracy, apparatus uncertainties, validation by the scientific community, systematic error from intercepts, limitations, margins of error, percentage error, improving procedures and combining uncertainties.
What you need to know
Answer each one before you reveal it.
What types of limitations should be identified when evaluating experimental procedures?
Questions from this subtopic
Each one with the model answer underneath.
- 1
Define an anomaly in experimental measurements.
Model answer
An anomaly is a data point that does not fit the expected pattern or trend in experimental measurements.
- 2
Define precision in the context of experimental measurements.
Model answer
Precision refers to how close repeated measurements are to each other.
- 3
Define accuracy in the context of experimental measurements.
Model answer
Accuracy refers to how close a measurement is to the true value.
- 4
Why is identifying anomalies an important evaluation skill?
Model answer
Identifying anomalies allows them to be investigated for possible errors, excluded if justified, or explained, ensuring the final analysis is based on reliable data.
- 5
Why must uncertainties in apparatus be identified when evaluating experimental data?
Model answer
Apparatus uncertainties contribute to the overall uncertainty in results and must be accounted for to assess the reliability and validity of conclusions.
- 6
How does the scientific community use experimental results to validate new knowledge?
Model answer
Results are shared through peer review and replication by other scientists, ensuring findings are reproducible and reliable before being accepted as validated knowledge.
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