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CCEA GCE Physics (1210) · Unit A2 3: Practical Techniques and Data Analysis
Mini-Lesson

Practical Techniques & Data Analysis (A2)

This mini-lesson covers CCEA Unit A2 3. It builds on AS 3 and adds the two skills that only appear at A2: using the cathode ray oscilloscope (CRO) to measure voltage and frequency, and handling the exponential data that A2 physics keeps producing (capacitor discharge, radioactive decay) by taking logarithms to get a straight line.

Remember: A2 3 assesses skills, not a content list — implementing, analysis, evaluation, refinement and communication. The physics can be drawn from anywhere in the A2 course.

Press Start when you are ready.

6.1 Implementing · the CRO

The cathode ray oscilloscope

A CRO plots voltage (vertical) against time (horizontal). Two dials do all the work:

  • Y-gain (volts/div) — how many volts one vertical square represents.
  • Time-base (s/div) — how much time one horizontal square represents.
V = (vertical divisions) × (volts/div)T = (horizontal divisions for one complete cycle) × (time-base), then f = 1 / T
one full cycle peak 0 V
Count the squares — not the seconds. The dials convert divisions into volts and seconds.

Reading it right: the vertical distance from the centre line to a peak is the peak voltage; the distance from trough to peak is the peak-to-peak voltage (twice as big). For a d.c. input the trace is a flat horizontal line displaced from the centre.

Calculate

Your turn — frequency from a CRO

1On a CRO, one complete cycle of a wave spans 4.0 horizontal divisions and the time-base is set to 2.0 ms/div. Calculate the frequency of the signal.
Hz
Hint: T = 4.0 × 2.0 ms = 8.0 ms = 8.0 × 10⁻³ s. f = 1/T.
Calculate

Your turn — voltage from a CRO

2The same trace has a peak-to-peak height of 6.0 vertical divisions with the Y-gain set to 5.0 V/div. Calculate the peak voltage.
V
Hint: Peak-to-peak = 6.0 × 5.0 = 30 V. The peak voltage is half the peak-to-peak value.
Quick check

Fitting more cycles on screen

?A student wants to see more complete cycles across the CRO screen. What should they change?
6.2 Analysis · logarithms

Turning an exponential into a straight line

A2 physics is full of exponential decays. A curve is very hard to test or read a constant from — so take natural logs to get a straight line.

V = V₀e−t/CR  →  ln V = ln V₀ − t/CRCompare with y = mx + c: plot ln V against t. Gradient = −1/CR, intercept = ln V₀.
A = A₀e−λt  →  ln A = ln A₀ − λtPlot ln A against t. Gradient = −λ, and then T½ = ln 2 / λ.

Why bother? Because a straight line lets you (a) confirm the relationship really is exponential, (b) extract the constant from a gradient using all the data, not just two points, and (c) put a quantitative uncertainty on it with a line of worst fit.

Radioactive decay: always subtract the background count rate from every reading before taking logs. Forgetting to do so bends the line and gives a half-life that is too long.

Calculate

Your turn — from a log gradient

3A student plots ln V against t for a discharging capacitor and obtains a straight line of gradient −0.25 s⁻¹. The capacitor is 100 µF. Calculate the resistance, in .
Hint: Gradient = −1/CR, so CR = 1/0.25 = 4.0 s. R = 4.0 ÷ (100 × 10⁻⁶) = 40 000 Ω.
Calculate

Your turn — half-life with background

4The background count rate is 10 counts per minute. A source reads 210 cpm, and 30 minutes later it reads 60 cpm. Calculate the half-life.
minutes
Hint: Corrected rates: 210 − 10 = 200 cpm, and 60 − 10 = 50 cpm. 200 → 100 → 50 is TWO half-lives in 30 minutes.
Quick check

Why plot ln A?

?Why do we plot ln A against t rather than A against t, when investigating radioactive decay?
Sort it

What will this actually fix?

Tap a technique, then tap what it does.

🎯 Improves precision

🛠️ Removes a systematic error

🚫 Will not help

6.3 Evaluation · uncertainty

Uncertainty in A2 experiments

The three rules from AS still do everything:

  • Add or subtract → add the absolute uncertainties.
  • Multiply or divide → add the percentage uncertainties.
  • Power nmultiply the percentage uncertainty by n.
Worked example — the Young modulus

E = FL / (Ae), and A = πd²/4, so d contributes twice its percentage uncertainty.

Suppose %F = 1.0%, %L = 0.5%, %d = 2.0% (so %A = 4.0%), %e = 3.0%.

Total % uncertainty in E = 1.0 + 0.5 + 4.0 + 3.0 = 8.5%

The diameter and the extension dominate — so a micrometer and a travelling microscope (or a much longer wire) are where the improvement must come from.

Precision instruments at A2: micrometer (0.01 mm) for wire diameter · vernier calipers (0.1 mm) · digital multimeter · travelling microscope for tiny extensions · light gates and data loggers to eliminate reaction time altogether.

Calculate

Your turn — combining uncertainties

5In a Young modulus experiment, E = FL/(Ae) with A = πd²/4. The percentage uncertainties are: F 1.0%, L 0.5%, d 2.0%, e 3.0%. Calculate the total percentage uncertainty in E.
%
Hint: d appears as d², so it contributes 2 × 2.0% = 4.0%. Now add: 1.0 + 0.5 + 4.0 + 3.0.
Calculate

Your turn — uncertainty in a gradient

6A best-fit line has gradient 4.90; the line of worst fit through all the error bars has gradient 5.10. Calculate the percentage uncertainty in the gradient.
%
Hint: Uncertainty = |5.10 − 4.90| = 0.20. Percentage = (0.20 ÷ 4.90) × 100.
Quick check

Measuring a wire

?Which instrument should be used to measure the diameter of a wire in the Young modulus experiment, and why?
Quick check

Quoting the answer

?A student calculates a resistivity of 1.68374 × 10⁻⁸ Ω m from data all given to 3 significant figures. How should they quote it?
Quick check

Which error does repeating fix?

?A student repeats a measurement twenty times and averages. Which type of error does this reduce?
Match it

Match the gradient to the graph

Tap an item on the left, then its partner on the right.

Gradient equals
Graph plotted
Recap

Unit A2 3 — the big ideas

CRO: V = divisions × volts/div; T = divisions per cycle × time-base; f = 1/T; peak = ½ × peak-to-peak

Logs: ln V vs t → gradient −1/CR · ln A vs t → gradient −λ · T½ = ln 2 / λ

Background: always subtract it from count rates before analysing

Uncertainty: add absolutes (+/−) · add percentages (×/÷) · × the power

Graphs: worst-fit line through the error bars → uncertainty in the gradient

Errors: repeats fix random error only; systematic error must be found and corrected

Press Finish to see your score.

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