2. Resolution Limitation

Resolution limitation occurs when the smallest scale division of an instrument is too large to distinguish between values that differ by less than that division.
It is classified as a random error — the uncertainty introduced when estimating between graduations varies unpredictably between readings.

2.1. Examples

  • A ruler marked in millimetres cannot reliably measure a length of 3.4 mm — the true value must be estimated between the 3 mm and 4 mm graduations, introducing uncertainty

  • A stopwatch reading to 0.1 s cannot distinguish between reaction times of 1.21 s and 1.24 s — both would be recorded as 1.2 s

  • A thermometer graduated in 1 °C divisions cannot reliably record a temperature of 36.6 °C — the observer must estimate between 36 °C and 37 °C

  • A balance reading to 0.1 g cannot detect a mass difference of 0.04 g between two samples

  • A measuring cylinder graduated in 2 mL divisions requires estimation for any volume that falls between graduations, introducing uncertainty in every reading

Resolution Limitation: A Four-Step Analysis

Use the four-step framework to analyse a resolution limitation:

Step 1 — Identify the source

Instrumental — the scale divisions of the measuring instrument are too coarse to capture the precision required by the investigation.

Step 2 — Classify the behaviour

Unpredictable spread → Random error → affects precision. The amount and direction of the estimation error varies between readings, producing a spread of results around the true value.

Step 3 — Explain the impact

Each reading carries an inherent uncertainty of at least half the smallest scale division. Because the estimation varies between trials, results are scattered around the true value rather than consistently displaced in one direction. Accuracy is not affected — the readings are centred on the true value — but precision is reduced.

Step 4 — Suggest an improvement

Resolution limitation is reduced by using an instrument with smaller scale divisions — it cannot be eliminated by repeating measurements alone, though averaging multiple readings will reduce its effect.


2.2. Effects

Resolution limitation produces random scatter around the true value. Because the estimation between graduations varies unpredictably:

  • results are scattered above and below the true value rather than consistently displaced in one direction,

  • precision is reduced — repeated readings may not agree closely with each other,

  • accuracy is not affected — there is no consistent bias; readings are centred on the true value on average,

  • the minimum uncertainty introduced is half the smallest scale division — for example, a ruler marked in 1 mm divisions introduces an uncertainty of at least ±0.5 mm per reading,

  • repeating measurements and averaging will reduce the effect, but the limitation remains unless a higher-resolution instrument is used.


2.3. Improvements

To reduce resolution limitation, use an instrument with a finer scale or a higher-resolution sensor.

  • Replace the instrument with one that has smaller scale divisions — for example, use a digital calliper (0.01 mm resolution) instead of a ruler (1 mm resolution).

  • Use a digital instrument rather than an analogue one where possible, as digital displays typically offer greater resolution.

  • Repeat measurements and calculate a mean to reduce the effect of random estimation error across trials.

  • Report all measurements to the correct number of significant figures consistent with the instrument’s resolution — do not record more decimal places than the instrument can support.

  • When designing the investigation, select instruments whose resolution is appropriate for the precision required — consider the magnitude of the quantity being measured and the differences expected between conditions.


Structured Question: Resolution Limitation

A Year 8 class is investigating whether the width of a rubber band affects how far it stretches when a 100 g mass is hung from it. Each student measures the length of the rubber band before and after the mass is added, then calculates the extension by subtracting the original length. The students use a ruler marked in centimetres only, with no millimetre graduations. Several students notice that the end of the rubber band often falls between two centimetre marks, and each student estimates the position slightly differently.

(a) Identify the type of error introduced by using a ruler with centimetre-only graduations and classify it as random, systematic, or personal. (2 marks)

(b) Explain how this error would affect the group’s extension measurements. In your answer, refer to the direction of the error and its effect on the accuracy and precision of the results. (3 marks)

(c) The group repeats each measurement five times and calculates a mean extension. Evaluate whether this would reduce the effect of the error identified in part (a). (2 marks)

(d) Describe one improvement the group could make to reduce this error before collecting data. (1 mark)