OCR A-Level Physics: Foundations and Measurement

Foundations and measurement is the module every other H556 paper silently audits. Examiners do not give a separate paper on units or uncertainties — they bake the skills into every quantitative question on every paper, so the candidate who is fluent with SI base units, percentage uncertainty arithmetic and vector resolution converts that fluency into an extra two or three marks on almost every long-response item. The module looks short on the specification page, but it is the highest-leverage course in the H556 series because the dividend pays out on every later module from mechanics through to nuclear physics.

H556 examiners weight this material heavily because it is genuinely diagnostic. A candidate who can state Newton's second law with both quantity names and SI units, who can carry uncertainty through a chain of multiplications, and who can resolve a vector into components without sign errors has the toolkit to handle every later module. A candidate who cannot do these things will lose two marks here, two marks there, and finish a long-response question two grade boundaries below where their conceptual understanding would otherwise place them. Module 2 is the quiet filter that separates Mid-band from Stronger and Top-band performance across the whole H556 series.

Course 1 of the H556 Physics learning path on LearningBro, Foundations and Measurement, establishes the measurement language the rest of the path will use. It opens with SI base units and the homogeneity check for derived units, develops the unit-prefix system that powers order-of-magnitude estimation, introduces systematic and random errors and the discipline of separating precision from accuracy, layers in the rules for combining uncertainties through products, quotients and powers, and closes with scalars, vectors and the resolution into perpendicular components that underpins all of Motion, Forces and Materials and Newton's Laws and Momentum. It sits at the foundation of the LearningBro OCR A-Level Physics learning path and feeds directly into every subsequent module across mechanics, electricity, waves, fields and nuclear physics.

Guide Overview

The Foundations and Measurement course is built as a ten-lesson sequence that moves from unit definitions through error theory into vector arithmetic. The progression is deliberately calibrated so that the algebraic tools required for the rest of the H556 series are in place before any specific mechanics or electricity content is encountered.

• SI Base Units and Quantities
• Derived Units and Homogeneity
• Unit Prefixes and Conversions
• Estimation and Orders of Magnitude
• Systematic and Random Errors
• Precision, Accuracy and Uncertainty
• Combining Uncertainties
• Graphical Treatment of Errors
• Scalars and Vectors
• Resolving Vectors

OCR H556 Specification Coverage

This course addresses OCR H556 Module 2 (Foundations of physics) in full. The specification organises the topic into physical quantities and units, making measurements and analysing data, nature of quantities, and the bridging skill of resolving vectors that recurs throughout the rest of the specification (refer to the official OCR specification document for exact wording).

• Module 2.1 — Physical quantities and units (lessons: si-base-units-and-quantities, derived-units-and-homogeneity, unit-prefixes-and-conversions)
• Module 2.2 — Making measurements and analysing data (lessons: estimation-and-orders-of-magnitude, systematic-and-random-errors, precision-accuracy-and-uncertainty, combining-uncertainties, graphical-treatment-of-errors)
• Module 2.3 — Nature of quantities (lessons: scalars-and-vectors, resolving-vectors)

Module 2 is examined across all three H556 papers but is especially heavy on Paper 3 (Unified physics) where the practical-analysis items demand explicit uncertainty arithmetic, and on the practical endorsement record where the same skills underpin every PAG write-up.

Topic-by-Topic Walkthrough

SI Base Units, Derived Units and Homogeneity

The SI base units lesson commits the seven base quantities to memory — length (m), mass (kg), time (s), current (A), temperature (K), amount of substance (mol), luminous intensity (cd) — and reinforces that mass is in kilograms, not grams, as the SI base unit. The derived units lesson develops the homogeneity check: every term in a physics equation must reduce to the same combination of base units, so a wrong-unit answer is a wrong answer regardless of the numerical value. The canonical worked example is checking F = ma, where kg × m s⁻² delivers the newton (N), confirmed independently by the definition of the joule (kg m² s⁻²) and the watt (kg m² s⁻³). The Top-band discriminator is the ability to reverse-engineer an unfamiliar quantity from its base units — given an equation, work out what the symbol must represent dimensionally even if the symbol is not recognised.

Unit Prefixes, Conversions and Estimation

The unit prefixes lesson covers the standard ladder from pico (10⁻¹²) through nano, micro, milli, kilo, mega, giga to tera (10¹²), with the routine pitfall that c (centi, 10⁻²) is only retained for centimetres and cubic-centimetre volumes — there is no centiwatt or centivolt in everyday physics. The estimation lesson develops Fermi-style order-of-magnitude reasoning: how many atoms in a teaspoon of water, how many seconds in a human lifetime, how much energy in a chocolate bar measured in joules rather than kilocalories. The discriminator is the ability to deliver an order-of-magnitude estimate that lands within one factor of ten — the right answer for the right reason, rather than a precise but unjustified figure.

Systematic and Random Errors

The systematic and random errors lesson distinguishes the two categories: systematic errors shift every reading in the same direction (zero-error on a balance, parallax error on a ruler, calibration drift on a thermometer) and are eliminated by careful technique, not by averaging; random errors scatter readings either side of the true value (reaction-time on a stopwatch, fluctuating digital readings) and are reduced by averaging repeated measurements. The precision, accuracy and uncertainty lesson commits the distinction to memory: precision is reproducibility (how tightly readings cluster), accuracy is closeness to the true value, and an instrument can be precise without being accurate. The standard A-Level question type asks candidates to identify a specific source of systematic or random error in an experiment and to suggest a procedural change that would mitigate it.

Combining Uncertainties and Graphical Error Treatment

The combining uncertainties lesson develops the two key rules. For sums and differences, absolute uncertainties add (Δ(A+B) = ΔA + ΔB). For products and quotients, percentage uncertainties add (%(AB) = %A + %B). For a quantity raised to a power, the percentage uncertainty is multiplied by the power (%(A^n) = n × %A). Worked example: a resistance R = V / I where V = 6.0 ± 0.1 V (1.67%) and I = 0.25 ± 0.01 A (4.0%) has %R = 5.67% so R = 24.0 ± 1.4 Ω. The graphical treatment of errors lesson extends to error bars on plotted points and the worst-line / best-line method for finding the uncertainty in a gradient, which is the routine practical-endorsement skill.

Scalars, Vectors and Resolution

The scalars and vectors lesson establishes the contrast — speed (scalar) versus velocity (vector), distance (scalar) versus displacement (vector), mass (scalar) versus weight (vector) — and develops the parallelogram and tip-to-tail addition rules. The resolving vectors lesson develops the trigonometric resolution into perpendicular components: a force F at angle θ to the horizontal has horizontal component F cos θ and vertical component F sin θ. This skill is the engine of inclined-plane problems in Motion, Forces and Materials, of 2D collision problems in Newton's Laws and Momentum, and of circular-motion problems in later modules. The Top-band discriminator is consistent sign-convention: choosing one direction as positive and sticking with it through every subsequent line of working.

A Typical H556 Paper 3 Question

A standard Paper 3 prompt gives candidates a practical-analysis scenario — a set of measured values of period T against length L for a simple pendulum, with stated absolute uncertainties on each measurement — then asks them to plot T² against L, draw a best-fit line, extract the gradient, propagate the uncertainties into the gradient, and from the gradient compute g with its uncertainty. The route is fixed. Square each T value, propagate the uncertainty ($\Delta(T^2) = 2T\,\Delta T$Δ(T2)=2TΔT). Plot T² on the vertical, L on the horizontal, with error bars. Draw the best line and the steepest and shallowest worst-lines through the error bars. The gradient is $4\pi^2/g$4π2/g, so $g = 4\pi^2/\text{gradient}$g=4π2/gradient, and $\Delta g/g = \Delta(\text{gradient})/\text{gradient}$Δg/g=Δ(gradient)/gradient. The mark profile splits roughly AO1 (recall of the pendulum formula and the gradient interpretation) 3 marks, AO2 (computation of T², gradient and g) 5 marks, AO3 (uncertainty propagation and evaluation of whether the result is consistent with 9.81 m s⁻²) 4 marks. The Top-band discriminator is the explicit conclusion sentence: $g = (9.7 \pm 0.3)\ \text{m s}^{-2}$g=(9.7±0.3) m s−2 is consistent with the accepted value 9.81 m s⁻² because the accepted value lies within the experimental uncertainty interval.

Worked Examples: The Arithmetic Examiners Reward

The best way to internalise the uncertainty rules is to see them applied to the exact quantity types H556 keeps asking about. Work through each of the following with pen and paper before reading the solution — the value is in the method, not the number.

Worked example 1: percentage uncertainty in a product

A student measures the resistivity of a wire using $\rho = RA/L$ρ=RA/L, where the resistance is $R = 4.70 \pm 0.05\ \Omega$R=4.70±0.05 Ω, the cross-sectional area is $A = 1.96 \times 10^{-7} \pm 0.08 \times 10^{-7}\ \text{m}^2$A=1.96×10−7±0.08×10−7 m2, and the length is $L = 1.500 \pm 0.002\ \text{m}$L=1.500±0.002 m. Because resistivity is a product-and-quotient of three measured quantities, the percentage uncertainties add:

$\frac{\Delta\rho}{\rho} = \frac{\Delta R}{R} + \frac{\Delta A}{A} + \frac{\Delta L}{L}$ρΔρ​=RΔR​+AΔA​+LΔL​

Numerically that is $1.06\% + 4.08\% + 0.13\% = 5.27\%$1.06%+4.08%+0.13%=5.27%. The central value is $\rho = (4.70 \times 1.96 \times 10^{-7})/1.500 = 6.14 \times 10^{-7}\ \Omega\,\text{m}$ρ=(4.70×1.96×10−7)/1.500=6.14×10−7 Ωm, so the absolute uncertainty is $5.27\%$5.27% of that, giving $\rho = (6.14 \pm 0.32) \times 10^{-7}\ \Omega\,\text{m}$ρ=(6.14±0.32)×10−7 Ωm. Notice two examiner-rewarded habits: the dominant contribution to the total uncertainty is the area term (because it was measured with a micrometer to only two significant figures), and the length term is almost negligible. Identifying the dominant term is worth a mark on the "suggest an improvement" follow-up — the sensible answer is measure the diameter more precisely / at more points along the wire, not use a longer wire.

Worked example 2: the power rule bites twice

The kinetic energy of a trolley is found from $E_k = \tfrac{1}{2}mv^2$Ek​=21​mv2, where $m = 0.250 \pm 0.001\ \text{kg}$m=0.250±0.001 kg ($0.40\%$0.40%) and $v = 1.80 \pm 0.05\ \text{m s}^{-1}$v=1.80±0.05 m s−1 ($2.78\%$2.78%). Because the velocity is squared, its percentage uncertainty is multiplied by the power 2 before being added:

$\frac{\Delta E_k}{E_k} = \frac{\Delta m}{m} + 2\,\frac{\Delta v}{v} = 0.40\% + 2(2.78\%) = 5.96\%$Ek​ΔEk​​=mΔm​+2vΔv​=0.40%+2(2.78%)=5.96%

The central value is $E_k = 0.5 \times 0.250 \times 1.80^2 = 0.405\ \text{J}$Ek​=0.5×0.250×1.802=0.405 J, so $E_k = (0.405 \pm 0.024)\ \text{J}$Ek​=(0.405±0.024) J. The single most common Mid-band error here is to add $0.40\% + 2.78\% = 3.18\%$0.40%+2.78%=3.18%, forgetting the factor of two. Because velocity is usually the least-precise input in mechanics practicals, the power rule is where most of the uncertainty budget lives — a point examiners reward candidates for stating explicitly.

Worked example 3: absolute uncertainties for a difference

A thermometer reads $\theta_1 = 21.5 \pm 0.5\ ^\circ\text{C}$θ1​=21.5±0.5 ∘C before heating and $\theta_2 = 84.0 \pm 0.5\ ^\circ\text{C}$θ2​=84.0±0.5 ∘C after. The temperature rise is a difference, so absolute uncertainties add (percentage uncertainties do NOT):

$\Delta\theta = (84.0 - 21.5) = 62.5\ ^\circ\text{C}, \qquad \Delta(\Delta\theta) = 0.5 + 0.5 = 1.0\ ^\circ\text{C}$Δθ=(84.0−21.5)=62.5 ∘C,Δ(Δθ)=0.5+0.5=1.0 ∘C

so the rise is $(62.5 \pm 1.0)\ ^\circ\text{C}$(62.5±1.0) ∘C. This is the trap that catches candidates who have over-learned "percentages add" — that rule is for products and quotients only. For sums and differences, absolute uncertainties add. The percentage uncertainty in the difference ($1.6\%$1.6%) is larger than the percentage uncertainty in either individual reading ($2.3\%$2.3% and $0.6\%$0.6%) — subtracting two similar large numbers to get a small one magnifies the relative uncertainty dramatically. Examiners love this teaching point because it explains why calorimetry with small temperature rises is inherently imprecise.

Worked example 4: vector resolution with a sign convention

A box is pulled by a rope with tension $T = 45\ \text{N}$T=45 N at $30^\circ$30∘ above the horizontal, while a friction force of $12\ \text{N}$12 N acts horizontally backwards and the weight is $80\ \text{N}$80 N. Take rightwards and upwards as positive. Resolve the tension into components:

$T_x = T\cos 30^\circ = 45 \times 0.866 = 39.0\ \text{N}, \qquad T_y = T\sin 30^\circ = 45 \times 0.500 = 22.5\ \text{N}$Tx​=Tcos30∘=45×0.866=39.0 N,Ty​=Tsin30∘=45×0.500=22.5 N

The net horizontal force is $T_x - \text{friction} = 39.0 - 12 = 27.0\ \text{N}$Tx​−friction=39.0−12=27.0 N rightwards. The net vertical force is $T_y - W + N$Ty​−W+N where $N$N is the (unknown) normal contact force; since the box stays on the ground, vertical equilibrium gives $N = W - T_y = 80 - 22.5 = 57.5\ \text{N}$N=W−Ty​=80−22.5=57.5 N. Two Top-band moves are on display: stating the positive direction before resolving, and noticing that the vertical component of the tension reduces the normal force (which in turn reduces friction if the surface is rough — the synoptic link to inclined-plane dynamics). The classic error is assigning $\cos$cos to the vertical component; the fix is the limiting-case check — as $\theta \to 0$θ→0 the rope is horizontal, so the horizontal component should approach the full tension, which only $\cos$cos delivers.

Exam Technique: Turning Understanding Into Marks

Knowing the physics and scoring the physics are different skills. The following habits are the specific, trainable behaviours that convert Module 2 fluency into marks under time pressure.

Read the command word and match your response length to it. "State" wants a one-line answer with no working; "Show that" wants every intermediate step plus a final value that matches the printed target to more significant figures than the target (so the examiner sees you did not reverse-engineer it); "Determine" or "Calculate" wants working and a value with a unit; "Explain" wants cause-and-effect reasoning, not a definition; "Evaluate" wants a judgement supported by evidence (typically the comparison of a measured value against an accepted one via the uncertainty interval).

Quote significant figures to match the least-precise input. If the data are given to three significant figures, a final answer of $9.81234\ \text{m s}^{-2}$9.81234 m s−2 is not a Top-band answer — it claims a precision the data cannot support. Round the final answer only, never intermediate steps, and state the rounded value with its unit.

Always carry units through the calculation, not just onto the final line. A dimensionally homogeneous line of working is self-checking: if the units on the left do not match the units on the right, there is an algebra error to find before you commit to a number. This single habit catches more errors than any amount of re-reading.

Draw the vector diagram even when the question does not ask for one. A sketch with the angle marked and the positive direction labelled is faster than mental resolution and eliminates the cos/sin confusion at its source. Examiners frequently award a mark for a correct labelled diagram in its own right.

Finish uncertainty questions with an evaluative sentence. The AO3 mark on almost every practical item is earned by the sentence that compares the measured interval with an accepted value. Bank it every time: "the accepted value lies within (or outside) the experimental uncertainty range, so the result is (not) consistent with theory."

Common-mistake callout — the "percentage of a percentage" confusion. Students sometimes take a $5\%$5% uncertainty and, when a quantity is halved, think the uncertainty halves too. It does not. Multiplying or dividing a measured quantity by an exact constant (like $\tfrac{1}{2}$21​ in $E_k = \tfrac{1}{2}mv^2$Ek​=21​mv2, or 2 in a diameter-to-radius conversion) leaves the percentage uncertainty unchanged — the exact constant has zero uncertainty of its own. Only adding an exact constant changes the percentage uncertainty (because the central value shifts while the absolute uncertainty does not).

Synoptic Links

Foundations and measurement are the synoptic backbone of every other H556 course. The vector resolution developed here returns in the Motion, Forces and Materials course when projectiles are analysed by independent horizontal and vertical components, and in Newton's Laws and Momentum when 2D collisions are resolved along orthogonal axes. The uncertainty arithmetic is the engine of every practical-endorsement write-up across the whole spec, and reappears explicitly in Electricity and Circuits when resistivity is measured by plotting R against L/A. The dimensional homogeneity check threads through every formula derivation in Capacitors and Fields and Nuclear and Particle Physics, where unfamiliar constants like ε₀ and μ₀ are reverse-engineered from the formulae they appear in.

Paper 3 'Unified physics' items typically deploy this module against unfamiliar contexts. A medical-physics scenario might give an ultrasound attenuation experiment and ask candidates to propagate uncertainties through a logarithmic transformation. An astrophysics scenario might give a redshift dataset and ask for the uncertainty in Hubble's constant. A particle-physics scenario might give a cross-section measurement with statistical and systematic error bars and ask candidates to combine them. In every case the underlying skill is the unit-discipline and uncertainty-propagation fluency built in this module.

What Examiners Reward

Top-band marks on this module cluster around explicit unit-tracking and sign-convention discipline. For unit-conversion questions, examiners want every intermediate quantity stated with its unit (mass in kg, not g; distance in m, not cm; pressure in Pa, not kPa) and every multiplication or division accompanied by a unit-check. For uncertainty-propagation questions, they want explicit identification of which rule applies (absolute uncertainties add for sums; percentage uncertainties add for products; multiply by the power for power laws). For vector resolution, they want a clearly labelled diagram with the angle marked, the chosen positive direction stated, and the cos / sin assignment justified by reference to which component is adjacent to the angle.

Common pitfalls cluster around six recurring mistakes. First, mass given in grams when the formula requires kilograms, giving answers that are out by a factor of 1000. Second, temperature given in Celsius when the formula requires kelvin, especially in the ideal gas equation and in later thermal-physics calculations. Third, mistaking precision (low scatter) for accuracy (closeness to true value), which makes the candidate's evaluation of an experiment incoherent. Fourth, adding absolute uncertainties when percentage uncertainties should be added (because the operation is multiplication, not addition). Fifth, forgetting to multiply the percentage uncertainty by the power when the quantity is squared or cubed (a factor-of-two or factor-of-three error). Sixth, resolving a vector into components with cos and sin swapped, which arises whenever the marked angle is measured from the wrong reference line. Each of these is a one- or two-mark deduction that compounds across a multi-part question.

Beyond the six routine pitfalls, the Top-band candidate distinguishes themselves with a few extra habits worth practising deliberately. They quote answers to a sensible number of significant figures consistent with the precision of the least-precise input (a calculator answer of 9.81234567 m s⁻² is not a Top-band answer when the inputs are quoted to three significant figures). They state explicitly whether an angle is measured from the horizontal or the vertical when resolving a vector, eliminating ambiguity about cos versus sin. They check the dimensional homogeneity of an unfamiliar derived equation by substituting base units, catching algebra errors that would otherwise propagate silently through the rest of the question. And they explicitly compare their answer with an accepted value (where one exists), expressed in the form "the measured value of (9.7 ± 0.3) m s⁻² is consistent with the accepted 9.81 m s⁻² because the accepted value lies within the experimental uncertainty interval" — a single sentence that converts a numerical answer into an evaluative conclusion and earns the AO3 mark that otherwise eludes most candidates.

Practical Activity Groups (PAGs)

This course anchors the cross-cutting measurement and analysis skills audited across every OCR H556 PAG. PAG 1 (Determination of g by a free-fall method) uses the uncertainty arithmetic developed here to combine the time and distance uncertainties into a single uncertainty in g, and the graphical treatment of errors to extract g from a plot of 2s against t². The vector resolution skill underpins PAG 6 (Investigation of inclined-plane dynamics) where weight is resolved into components parallel and perpendicular to the slope. The dimensional homogeneity check is audited implicitly in every PAG that derives a quantity from a formula — the candidate who tracks units through the calculation produces a recognisably correct answer, while the candidate who does not produces a number with no physical meaning. The practical-endorsement column of the H556 record specifically demands evidence of uncertainty awareness, so this module's content is examined by both the written papers and the school-internal practical-endorsement assessment.

Going Further

Undergraduate analogues of this material extend in two directions. First, dimensional analysis generalises into Buckingham's pi-theorem, which extracts the form of physical laws from dimensional constraints alone — a powerful tool used in fluid dynamics and astrophysics to derive scaling laws without solving the underlying differential equations. Second, error theory generalises into the statistical machinery of variance, covariance and the propagation of correlated errors, used routinely in particle physics where systematic uncertainties on detector calibration are correlated across thousands of measurements. Vectors generalise into tensors in relativity and into linear operators in quantum mechanics, where the resolution into orthogonal components becomes the resolution into eigenvectors of a Hermitian operator. Oxbridge-style interview prompts on this material include: "Why is mass measured in kilograms rather than grams as the SI base unit?" "How would you estimate the number of atoms in a grain of sand to within an order of magnitude?" "If you measure a length with two rulers, one accurate but imprecise and one precise but inaccurate, which should you prefer and why?"

Frequently Asked Questions

When do percentage uncertainties add, and when do absolute uncertainties add? Absolute uncertainties add for sums and differences ($\Delta(A \pm B) = \Delta A + \Delta B$Δ(A±B)=ΔA+ΔB). Percentage uncertainties add for products and quotients ($\%(AB) = \%A + \%B$%(AB)=%A+%B), and are multiplied by the power for powers ($\%(A^n) = n \times \%A$%(An)=n×%A). The single trap is subtracting two similar large numbers — the absolute uncertainty stays the same but the percentage uncertainty balloons because the central value has shrunk.

How many significant figures should I give in an uncertainty? Quote the uncertainty itself to one significant figure (occasionally two if the leading digit is 1), then round the central value to the same decimal place. So $(6.14 \pm 0.32) \times 10^{-7}$(6.14±0.32)×10−7 is better written as $(6.1 \pm 0.3) \times 10^{-7}$(6.1±0.3)×10−7 once the uncertainty is rounded to one significant figure. Claiming more precision in the value than the uncertainty supports is a Mid-band tell.

Do I need to memorise the SI base units, or are they on the data sheet? The seven base quantities and their units must be memorised — the H556 data booklet gives you constants and derived-unit definitions but assumes fluency with the base set. The high-value fact examiners test is that mass is kilograms, not grams, as the base unit, and that temperature calculations require kelvin, not Celsius.

When is a plain SUVAT-style approach wrong for uncertainty propagation? Whenever a quantity passes through a non-linear transformation more complex than a simple power — a logarithm (as in radioactive decay or ultrasound attenuation) or a trigonometric function. In those cases the percentage-uncertainty rules do not apply directly; the safe route is the max-min method (compute the quantity at both extremes of the input range and halve the spread). This is a common Paper 3 escalation of the standard skill.

How do I decide whether an error is systematic or random? Ask whether repeating the measurement and averaging would reduce it. If yes, it is random (stopwatch reaction time, digital fluctuation). If no — if every reading is shifted the same way — it is systematic (zero error, calibration drift, consistent parallax). Systematic errors are fixed by better technique or calibration; random errors are reduced by repetition. Getting this wrong makes the whole evaluation section incoherent, so it is a frequent discriminator.

Authorship and Sign-off

This guide was authored independently by John Haigh, paraphrasing OCR H556 Module 2 (Foundations of physics) as descriptive use. I confirm I did not paste from exam-board specification PDFs, mark schemes, examiner reports, or past papers. The worked examples and uncertainty calculations are original.

Start at the Foundations and Measurement course and work through every lesson in sequence. Once unit-tracking, uncertainty arithmetic and vector resolution are automatic, every later H556 module becomes a story about how specific quantities relate through specific equations — and the calculation items resolve into pattern recognition rather than panic. The two-mark gains compound across every subsequent paper, and the difference between a Mid-band and a Top-band candidate on H556 is almost always built here in Module 2 rather than in any of the showier topics later in the specification.

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Related Reading

• OCR A-Level Physics: Motion, Forces and Materials — Complete Revision Guide (H556) — where the vector resolution built here powers inclined-plane and projectile analysis.
• OCR A-Level Physics: Newton's Laws and Momentum — Complete Revision Guide (H556) — where component resolution returns for two-dimensional collisions.
• OCR A-Level Physics: Electricity and Circuits — Complete Revision Guide (H556) — where uncertainty propagation reappears in the resistivity practical.
• OCR A-Level Physics: Waves and Optics — Complete Revision Guide (H556) — where measurement discipline underpins the diffraction-grating and stationary-wave experiments.
• Explore the full OCR A-Level Physics learning path to see how Module 2 feeds every subsequent module across mechanics, electricity, waves, fields and nuclear physics.