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Making Measurements and Analysing Data

  • 2 subtopics
  • 6 things to know
  • All three papers

What Making Measurements and Analysing Data covers

The treatment of error and uncertainty: what distinguishes a systematic error from a random one, and how uncertainty is expressed, combined and shown on a graph.

Where it is assessed

All three papers

Practical skills and physical quantities, assumed throughout.

Check the OCR specification ↗

The 2 subtopics

Each one has its own page.

What you need to know

Answer each one before you reveal it.

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Evaluation

How is percentage uncertainty calculated from absolute uncertainty, and how are percentage uncertainties combined when quantities are multiplied or divided, or when a quantity is raised to a power n?

Evaluation

Define a worst line on a graph, and state how it is used to find the uncertainty in the gradient.

Evaluation

In what units are absolute and percentage uncertainties expressed, and how are uncertainties combined when quantities are added or subtracted?

Evaluation

Which type of error affects precision, and which affects accuracy?

Key term

Define a zero error.

Key term

Why does repeating measurements and averaging help reduce random errors but not systematic errors?

Take Making Measurements and Analysing Data further

The same content, four other ways.

Commonly confused

Pairs that lose marks when they are blurred together.

  • Systematic error vs Random error

    Systematic error: an error that shifts every reading in the same direction by the same amount. Random error: an unpredictable scatter that repeating and averaging can reduce.

  • Accuracy vs Precision

    Accuracy: how close a measurement lies to the true value. Precision: how closely repeated measurements agree with one another.

  • Absolute uncertainty vs Percentage uncertainty

    Absolute uncertainty: the uncertainty expressed in the same unit as the measurement. Percentage uncertainty: the uncertainty expressed as a proportion of the measurement.

Questions from this topic

Each one with the model answer underneath.

  1. 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. 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. 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. 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. 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. 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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Practical Skills in the Written Papers
The Practical Endorsement
Physical Quantities and Units
Making Measurements and Analysing Data

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Making Measurements and Analysing Data revision questions

What does Making Measurements and Analysing Data cover in OCR A-Level Physics A?
2 subtopics: systematic and random errors and precision, accuracy and uncertainties. Each one has its own page with questions and model answers.
How is Making Measurements and Analysing Data organised?
By the OCR H556 specification, subtopic by subtopic, so it matches the order you are taught it in.

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