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
Making Measurements and Analysing Data
Systematic and random errors
- 3 things to know
- All three papers
Overview
Recall questions on zero errors, what causes each type of error, and how each can be reduced.
What you need to know
Answer each one before you reveal it.
Define a zero error.
Why does repeating measurements and averaging help reduce random errors but not systematic errors?
Questions from this subtopic
Each one with the model answer underneath.
- 1
What is a systematic error?
Model answer
A systematic error is an error that causes all measurements to be shifted in the same direction from the true value by a consistent amount.
- 2
Define a zero error.
Model answer
A zero error is a type of systematic error where an instrument does not read zero when it should.
- 3
If a balance consistently reads 0.5 g when empty, what type of error is this?
Model answer
This is a zero error, which is a type of systematic error.
- 4
Can systematic errors be reduced by repeating measurements and calculating an average?
Model answer
No, systematic errors cannot be reduced by repeating measurements and averaging because they shift all readings by the same amount in the same direction.
- 5
Why does repeating measurements and averaging help reduce random errors but not systematic errors?
Model answer
Random errors scatter unpredictably above and below the true value, so averaging cancels them out. Systematic errors shift all readings in the same direction, so averaging does not eliminate them.
- 6
What are random errors?
Model answer
Random errors are errors that cause measurements to scatter unpredictably above and below the true value.
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