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How do we quantify the reliability of a measurement and combine uncertainties through a calculation?

Measurements and uncertainties: precision and accuracy, random and systematic errors, absolute, fractional and percentage uncertainty, and combining uncertainties in sums, products and powers.

A focused answer to the OCR H556 foundations content on measurements and uncertainties, covering precision and accuracy, random and systematic errors, absolute, fractional and percentage uncertainty, and the rules for combining uncertainties through sums, products and powers.

Generated by Claude Opus 4.812 min answer

Reviewed by: AI editorial process; not yet individually human-reviewed

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  1. What this dot point is asking
  2. The answer
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What this dot point is asking

OCR wants you to distinguish precision from accuracy and random from systematic error, express an uncertainty in absolute, fractional and percentage form, and combine uncertainties correctly when quantities are added, multiplied, divided or raised to a power.

The answer

Precision and accuracy

Random and systematic errors

Quantifying uncertainty

The percentage uncertainty is the most useful form because the rules for combining uncertainties through a calculation are stated in terms of percentages.

Combining uncertainties

Examples in context

In a Young modulus experiment the extension is small, so its percentage uncertainty dominates and is reduced by using a long wire and a travelling microscope. In radioactivity counting, random fluctuations follow a statistical spread, so longer counts give a smaller percentage uncertainty. Calibrating an ammeter against a known standard removes a systematic offset that repeating readings never could. Examiners reward quoting a result to a sensible number of significant figures consistent with its uncertainty.

Try this

Q1. Distinguish between precision and accuracy. [2 marks]

  • Cue. Precision is the closeness of repeated readings to each other; accuracy is closeness of the mean to the true value.

Q2. A length is (2.00±0.05) m(2.00 \pm 0.05)\ \text{m}. State its percentage uncertainty. [1 mark]

  • Cue. 0.052.00×100=2.5%\frac{0.05}{2.00} \times 100 = 2.5\%.

Q3. A quantity Q=ab2Q = ab^2. The percentage uncertainties are 3%3\% in aa and 2%2\% in bb. Find the percentage uncertainty in QQ. [2 marks]

  • Cue. 3+(2×2)=3+4=7%3 + (2 \times 2) = 3 + 4 = 7\%.

Exam-style practice questions

Practice questions written in the style of OCR exam questions on this dot point, with worked answer explainers. The year tag is the paper they imitate, not the source.

OCR 20184 marksA student measures a wire of length (1.250±0.002) m(1.250 \pm 0.002)\ \text{m} and diameter (0.38±0.01) mm(0.38 \pm 0.01)\ \text{mm}. Calculate the cross-sectional area of the wire and its percentage uncertainty.
Show worked answer →

Area of a circular cross-section: A=πd24=π(0.38×103)24=1.13×107 m2A = \frac{\pi d^2}{4} = \frac{\pi (0.38 \times 10^{-3})^2}{4} = 1.13 \times 10^{-7}\ \text{m}^2.

Percentage uncertainty in the diameter: 0.010.38×100=2.6%\frac{0.01}{0.38} \times 100 = 2.6\%.

Because the area depends on d2d^2, double the percentage uncertainty: 2×2.6=5.2%2 \times 2.6 = 5.2\%.

So A=1.13×107 m2±5.2%A = 1.13 \times 10^{-7}\ \text{m}^2 \pm 5.2\%. Markers reward the area, the diameter uncertainty as a percentage, and doubling it for the square.

OCR 20223 marksA resistance is calculated from R=VIR = \frac{V}{I} using V=(6.0±0.1) VV = (6.0 \pm 0.1)\ \text{V} and I=(0.50±0.02) AI = (0.50 \pm 0.02)\ \text{A}. Calculate RR and its absolute uncertainty.
Show worked answer →

Resistance: R=VI=6.00.50=12 ΩR = \frac{V}{I} = \frac{6.0}{0.50} = 12\ \Omega.

For a quotient, add percentage uncertainties. Voltage: 0.16.0×100=1.7%\frac{0.1}{6.0} \times 100 = 1.7\%. Current: 0.020.50×100=4.0%\frac{0.02}{0.50} \times 100 = 4.0\%. Total: 1.7+4.0=5.7%1.7 + 4.0 = 5.7\%.

Absolute uncertainty: 5.7%5.7\% of 12=0.057×12=0.68 Ω12 = 0.057 \times 12 = 0.68\ \Omega, so R=(12.0±0.7) ΩR = (12.0 \pm 0.7)\ \Omega.

Markers reward the value 12 Ω12\ \Omega, adding the percentage uncertainties, and converting back to an absolute uncertainty.

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