How do physicists quote a measured result honestly, and how big is the doubt attached to it?
Units, prefixes and uncertainties: scale-reading, random and systematic uncertainties, mean and approximate random uncertainty, percentage uncertainty, and combining uncertainties by adding in quadrature.
An SQA Higher Physics answer on the skills of scientific inquiry, covering scale-reading, random and systematic uncertainties, the mean and approximate random uncertainty, percentage uncertainty, and combining uncertainties by adding in quadrature for the question paper and the assignment.
Reviewed by: AI editorial process; not yet individually human-reviewed
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What this key area is asking
Every measurement in physics carries doubt, and the SQA expects you to quote that doubt honestly. Across both the question paper and the assignment you must choose sensible units and prefixes, estimate the scale-reading uncertainty of an instrument, find a mean and an approximate random uncertainty from repeated readings, work out percentage uncertainties, and combine the uncertainties in several quantities into the uncertainty in a final result. These skills are not a separate area of content: they are tested wherever data appears.
Units, prefixes and how to quote a result
Higher Physics uses SI units and standard prefixes (, , , , , ). A result should be written with a unit, a sensible number of significant figures, and an uncertainty:
The three types of uncertainty
The key distinction the examiners test: random uncertainties scatter readings either side of the true value and shrink when you average more readings, while systematic uncertainties shift every reading the same way and survive averaging. You reduce a systematic uncertainty by finding and correcting its cause (re-zeroing, recalibrating, improving the technique), not by taking more readings.
Mean and approximate random uncertainty
When a measurement is repeated, quote the mean as the best estimate and the spread as the random uncertainty.
Dividing by (not just quoting the range, and not dividing by ) is the SQA convention for the approximate random uncertainty in the mean. The more readings you take, the smaller this becomes, which is exactly why repeating reduces random uncertainty.
Percentage uncertainty
Percentage uncertainties are the working currency of uncertainty analysis because they can be compared between different quantities and combined directly. A large value measured to the nearest millimetre may have a tiny percentage uncertainty, while a small value measured with the same ruler has a large one, which is why you measure the longest sensible length.
Combining uncertainties: adding in quadrature
When a final result is calculated by multiplying or dividing measured quantities, combine their percentage uncertainties by adding in quadrature.
Adding in quadrature, rather than simply adding the percentages, recognises that the separate uncertainties are independent and unlikely all to push the result the same way at once. A useful consequence: the largest percentage uncertainty dominates. If one quantity is known to and another to , the combined value is , barely more than the alone. This tells you which measurement to improve: chase down the biggest percentage uncertainty.
How this appears in the question paper and the assignment
In the question paper, uncertainty questions are usually short: read a scale-reading uncertainty off an instrument, find a mean and random uncertainty from a table, calculate a percentage uncertainty, or combine two percentage uncertainties for a final answer. You may also be asked to judge whether a result supports a relationship by checking that a theoretical value lies within the experimental uncertainty of the measured one.
In the assignment, the same skills are assessed in context: raw data must be recorded with units and appropriate precision, repeated readings averaged with a random uncertainty, percentage uncertainties calculated for the key quantities, and combined where more than one quantity feeds the final result. The evaluation must distinguish random from systematic effects and suggest how each could be reduced. Choosing apparatus that keeps percentage uncertainties small (measuring the longest time, the largest length) is itself a planning skill the markers reward.
Try this
Q1. A digital ammeter reads , with the last digit in hundredths. State the scale-reading uncertainty. [1 mark]
- Cue. One in the last digit shown, so .
Q2. Five timings give a range of about a mean of . State the approximate random uncertainty in the mean. [1 mark]
- Cue. , so .
Q3. A speed is found from a distance measured to and a time measured to . Calculate the percentage uncertainty in the speed. [2 marks]
- Cue. ; the time uncertainty dominates.
Exam-style practice questions
Practice questions written in the style of SQA exam questions on this dot point, with worked answer explainers. The year tag is the paper they imitate, not the source.
SQA Higher (skills, past-style)3 marksA student measures the diameter of a wire five times with a micrometer and records: 0.38, 0.39, 0.37, 0.40, 0.36 mm. Calculate the mean diameter and the approximate random uncertainty in the mean.Show worked answer →
The mean is the sum of the readings divided by the number of readings.
Mean: .
The approximate random uncertainty is the range divided by the number of readings.
Range: .
Random uncertainty: .
Result: .
Markers reward a correct mean, the range divided by the number of readings (not by the range alone), and a sensibly rounded uncertainty quoted with the value.
SQA Higher (skills, past-style)4 marksA resistance is found from V = 6.0 V (+/- 2%) and I = 1.5 A (+/- 3%). Calculate the resistance and its absolute uncertainty by combining the percentage uncertainties.Show worked answer →
First find the resistance from Ohm's law.
Resistance: .
For a result formed by multiplying or dividing, combine the percentage uncertainties in quadrature.
Combined percentage uncertainty: .
Convert to an absolute uncertainty: .
Result: .
Markers reward the correct resistance, adding the percentage uncertainties in quadrature (not arithmetically), converting back to an absolute uncertainty, and a sensible final rounding.
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Sources & how we know this
- SQA Higher Physics Course Specification — SQA (2018)
- SQA Higher Physics Assignment Assessment Task — SQA (2018)