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Lesson plan · AS 9702 · 1.3 · Physical quantities and units

Measurement uncertainties

Tell random from systematic error and precision from accuracy, then find and combine uncertainties, the procedural skill that runs through every practical in the course.

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At a glance

The shape of the lesson

Topic
Errors and uncertainties (subtopic 1.3)
Syllabus reference
Cambridge International AS & A Level Physics 9702, 1.3 (Topic 1: Physical quantities and units)
Level
AS (first year)
Duration
60 minutes (single period)
Prior knowledge
Standard form, percentages, and SI units (lesson 1.2)
Central visual model
The four target boards: precision is grouping, accuracy is hitting the centre
Simulation
Accuracy and Precision, plotting repeated readings against a true value
Cooperative structure
Rally Coach (full facilitation guide in the activity materials)
21st century skills
Communication, Collaboration, Critical Thinking
Assessment
An exit ticket (a product uncertainty; classify a data set), plus circulation during the activity
Learning objectives

By the end of the lesson, learners can

AS (all learners)
  • distinguish random and systematic errors and state how each can be reduced
  • distinguish precision and accuracy
  • find the absolute, fractional and percentage uncertainty in a measurement
  • estimate the uncertainty in a reading from an instrument and from repeated readings
  • combine uncertainties for sums and differences, products and quotients, and powers
  • express a result as a value plus or minus an uncertainty to an appropriate number of significant figures

Key vocabulary

random error, systematic error, precision, accuracy, absolute uncertainty, fractional uncertainty, percentage uncertainty, resolution, half the range. Each term is introduced as it is first needed.

The core ideas

Two distinctions, then the arithmetic

The lesson rests on two distinctions that learners routinely blur: random versus systematic error, and precision versus accuracy. The four target boards make the second concrete, and a pair of scatter plots makes the first visible: random error scatters readings either side of the true value, while a systematic error shifts every reading the same way.

Four target boards: a tight central cluster is precise and accurate; a tight off-centre cluster is precise but not accurate; a wide central spread is accurate but not precise; a wide off-centre spread is neither.
Precision is tight grouping; accuracy is hitting the centre
Random error scatters readings either side of the true value so the average sits on it; systematic error shifts every reading the same way so the average is offset.
Random scatters both sides; systematic shifts one way

Finding and combining uncertainties

A reading carries an uncertainty: half the smallest division on an analogue scale, the resolution on a digital display, or half the range over repeated readings. When quantities are combined, the uncertainties follow a small set of rules, and the final uncertainty is quoted to one significant figure.

An analogue scale marked every 0.1 cm with a pointer reading 2.45 cm; the reading uncertainty is half the smallest division, plus or minus 0.05 cm.
Reading uncertainty: half the smallest division
Combining rules: add absolute uncertainties for a sum or difference; add fractional or percentage uncertainties for a product or quotient; multiply the fractional uncertainty by the power for a power.
The combining rules, at a glance
Lesson sequence

Sixty minutes, phase by phase

TimePhaseWhat happens in the roomResources
0 to 5 minStarterShow two sets of repeated readings, one scattered and one tightly grouped but offset; ask which is better. Learners argue precise versus accurate.Slide 1, fig-accuracy-precision
5 to 17 minTeach: errorsDefine random and systematic error and precision and accuracy, linking each to how it is reduced. Learners classify given scenarios.Slides 2 to 5, fig-random-vs-systematic
17 to 30 minTeach: combiningIntroduce absolute, fractional and percentage uncertainty and the combining rules; model the two worked examples, keeping the units explicit.Slides 6 to 10, fig-uncertainty-combine
30 to 50 minActivityRally Coach on the problem set: one partner solves aloud, the other coaches and checks each step, then they switch.Rally Coach activity sheet
50 to 60 minPlenaryExit ticket, then review the rule that is most often misapplied.Exit ticket slide
Worked examples for the board

A product and a quotient

Example 1: a product

A wire has length L = 2.00 ± 0.01 m and diameter d = 0.50 ± 0.01 mm. Find the percentage uncertainty in the cross-sectional area A = π d2 / 4.

A depends on d2, so the percentage uncertainty in A is 2 times that in d
% in d: (0.01 / 0.50) × 100 = 2 percent
% in A: 2 × 2 = 4 percent (the length is not needed here)

Example 2: a quotient

A density is found from ρ = m / V, with m = 50.0 ± 0.1 g and V = 20.0 ± 0.5 cm3. Find ρ and its uncertainty.

% in m: (0.1 / 50.0) × 100 = 0.2 percent; % in V: (0.5 / 20.0) × 100 = 2.5 percent
For a quotient, add: total = 2.7 percent
Value: ρ = 50.0 / 20.0 = 2.50 g cm−3; absolute uncertainty = 2.7 percent of 2.50 = 0.07 g cm−3
Result: ρ = 2.50 ± 0.07 g cm−3
Running the cooperative task

Rally Coach

Pairs share one problem set. For the first problem, partner A is the solver and partner B is the coach: the solver works the problem out loud while the coach watches, praises correct steps, and questions any step that looks wrong. They switch roles for the next problem, and continue alternating through the set. A full step-by-step facilitation guide, with the six-problem set and a teacher answer key, is provided as the activity in this bundle, so it can be run faithfully, including by a cover teacher.

Why it suits this lesson. Uncertainty work is procedural and error-prone, so immediate feedback matters. Rally Coach gives every learner a coach at their elbow on alternate problems, catching a misapplied rule the moment it appears rather than at marking.

Examiner traps to pre-empt

What to head off, and how

Trap learners fall intoTeaching move that pre-empts it
Believing more readings remove a systematic error.Averaging reduces random scatter only. A systematic shift stays in the mean; reduce it by zeroing or calibrating.
Treating precise and accurate as the same.Readings can be tightly grouped (precise) yet all wrong (not accurate). Use the four target boards to hold them apart.
Adding percentage uncertainties for a sum or difference.For sums and differences, add the absolute uncertainties. Percentages are added only for products and quotients.
Quoting an uncertainty to several significant figures.An uncertainty is normally given to one significant figure, with the value matched to the same decimal place.
Differentiation and assessment

Support, challenge and the checks

Assessment is formative. Exit ticket question 1: a current I = 2.0 ± 0.1 A flows through R = 10.0 ± 0.5 Ω; find V = I R and its absolute uncertainty. Exit ticket question 2: readings cluster tightly but all lie 5 percent above the true value, are they precise, accurate, both or neither, and what is the likely error? Circulating during Rally Coach gives a quick read on which rule needs another pass.

Equipment and resources

Original work by the TheLucidSTEM team. Items are written in the style of the papers; no past paper question is reproduced. Supplied in editable formats so you can adapt them freely.
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