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Worked examples

A spread of the maths skills examined across OCR B Papers 1–3: the chi-squared test, Spearman’s rank correlation and the Student’s t-test, the Hardy–Weinberg equation, Simpson’s Index of Diversity, magnification, the volume and surface area of a sphere, the surface area to volume ratio and rates from a tangent. OCR B is distinctive in setting genuine statistical tests in the exam. Click any example to expand the full method. Video walk-throughs are being added.

1

Chi-squared — calculating χ²

Paper 1 (A2), 2020, Q32(b)(ii)
Statistics4 marks

A dihybrid cross (RrYy × RrYy) gave 320 offspring, expected in a 9:3:3:1 ratio. Observed: tall purple 175, dwarf purple 57, tall white 63, dwarf white 25. Using χ² = Σ[(O − E)² ÷ E], calculate χ².

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The method

  1. Work out the expected numbers from the 9:3:3:1 ratio (16 parts of 320): one part = 320 ÷ 16 = 20 tall purple = 9 × 20 = 180 dwarf purple = 3 × 20 = 60 tall white = 3 × 20 = 60 dwarf white = 1 × 20 = 20
  2. For each class find (O − E)², then ÷ E: (175 − 180)² ÷ 180 = 25 ÷ 180 = 0.139 (57 − 60)² ÷ 60 = 9 ÷ 60 = 0.15 (63 − 60)² ÷ 60 = 9 ÷ 60 = 0.15 (25 − 20)² ÷ 20 = 25 ÷ 20 = 1.25
  3. Sum for χ²: χ² = 0.139 + 0.15 + 0.15 + 1.25 = 1.69
Answer: χ² = 1.69. With 3 degrees of freedom (4 classes − 1) this is below the p = 0.05 critical value of 7.81, so the deviation from 9:3:3:1 is not significant.
The step students miss is the expected numbers: a 9:3:3:1 dihybrid ratio splits 320 into 16 parts (÷16 = 20 per part), giving 180/60/60/20 — not an even split. Then it’s the standard routine: difference, square, divide by that class’s E, add. OCR awards a mark for each stage (E values, (O−E)², (O−E)²÷E, Σ), so lay it out as a full table. The dwarf-white cell (1.25) dominates the sum — the smallest expected class usually contributes most.
2

Spearman’s rank correlation coefficient

Paper 3 (A2), 2020, Q2(a)(ii)
Statistics2 marks

Ivy leaf area and petiole length were measured at ten sites. Ranking each variable separately gives a sum of squared rank differences of Σd² = 15.50 with n = 10. Using rₛ = 1 − [6Σd² ÷ n(n² − 1)], calculate rₛ to four decimal places.

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The method

  1. Numerator 6Σd²: 6 × 15.50 = 93
  2. Denominator n(n² − 1): 10 × (10² − 1) = 10 × 99 = 990
  3. Divide: 93 ÷ 990 = 0.0939
  4. Subtract from 1: rₛ = 1 − 0.0939 = 0.9061
Answer: rₛ = 0.9061. Close to +1, signalling a strong positive correlation — larger ivy leaves have longer petioles.
Spearman’s measures correlation between two ranked variables. Build the formula in pieces: 6Σd² on top, n(n²−1) on the bottom, then 1 minus the quotient. The two common errors are forgetting the “1 −” (leaving 0.094, which wrongly suggests no correlation) and mis-computing n(n²−1) as 10³ instead of 10 × 99 = 990. Watch the required precision — four decimal places (0.9061) to match the critical-value table; compare with the n = 10 critical value to judge significance.
3

Student’s t-test — calculating t

Paper 3 (A2), 2017, Q3(b)(iii)
Statistics3 marks

Mean metabolic rate of a fish was 86.0 at 10 °C and 131.6 at 16 °C (mg O₂ kg⁻¹ hour⁻¹), variance s² = 68.89 for both, n = 10 each. Using t = |x̄₁ − x̄₂| ÷ √(s₁²/n₁ + s₂²/n₂), calculate t to three decimal places.

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The method

  1. Difference of the means (top line): |86.0 − 131.6| = 45.6
  2. Denominator — s²/n for each group, add, then square-root: 68.89 ÷ 10 = 6.889 (each group) 6.889 + 6.889 = 13.78 √13.78 = 3.712
  3. Divide: t = 45.6 ÷ 3.712 = 12.285
Answer: t = 12.285. With df = n₁ + n₂ − 2 = 18, this hugely exceeds the p = 0.05 critical value (2.101), so the difference is significant — reject the null hypothesis.
The unpaired t formula: difference of means on top, and on the bottom the square root of (variance ÷ n) added for both groups. Keep the full variance (68.89) all the way through — rounding early shifts the answer. Watch the “three decimal places” instruction (12.285, not 12.28). Even a wrong final value earns method marks for correct substitution, so always show the working. For an unpaired test df = n₁ + n₂ − 2 = 18, not n − 1.
4

Hardy–Weinberg — number of carriers

Paper 3 (A2), 2024, Q2(b)(i)
Genetics3 marks

NGLY1 deficiency is a recessive disease. 75 people worldwide had it in 2022; world population = 7 880 000 000. Using p + q = 1 and p² + 2pq + q² = 1, estimate the number of heterozygous carriers, to 4 significant figures.

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The method

  1. q² = frequency of affected (homozygous recessive) people: q² = 75 ÷ 7 880 000 000 = 9.95 × 10⁻⁹
  2. q = √q²: q = √(9.95 × 10⁻⁹) = 9.756 × 10⁻⁵
  3. p = 1 − q: p = 1 − 0.00009756 = 0.99990244
  4. Carrier frequency 2pq, then × population: 2pq = 2 × 0.99990244 × 0.00009756 = 0.000195098 carriers = 0.000195098 × 7 880 000 000 = 1 537 372
  5. Round to 4 significant figures: 1 537 372 → 1 537 000
Answer: about 1 537 000 carriers (4 s.f.). One mark each for q, for 2pq, and for the final population figure to 4 s.f.
The classic Hardy–Weinberg chain: the recessive phenotype gives you directly, then square-root for q, 1 − q for p, 2pq for the carrier frequency, and × population for the number. Students lose marks skipping the square root. When q is tiny, p ≈ 1, so 2pq ≈ 2q — a useful check, but do the full calculation. Watch the significant figures: OCR asks for 4 s.f., so 1 537 372 becomes 1 537 000. Show every intermediate value so each mark is banked even if the rounding slips.
5

Simpson’s Index of Diversity (the 1 − … form)

Paper 1 (A2), 2017, Q35(b)(i)
Ecology3 marks

Bird counts in field M were: Dunnock 3, Song thrush 40, Reed bunting 23, Meadow pipit 12, Willow warbler 4, Common redstart 18. Using D = 1 − Σ(n/N)², calculate Simpson’s Index of Diversity.

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The method

  1. Total all counts for N: 3 + 40 + 23 + 12 + 4 + 18 = 100
  2. For each species work out (n/N)²: Song thrush: (40/100)² = 0.16 Reed bunting: (23/100)² = 0.0529 Common redstart: (18/100)² = 0.0324 … and so on for all six species
  3. Sum the squared proportions: Σ(n/N)² = 0.2622
  4. Subtract from 1: D = 1 − 0.2622 = 0.7378
Answer: D = 0.7378 (accept 0.74 / 0.738).
This is the OCR B Simpson’s Index of Diversity D = 1 − Σ(n/N)² — the 1 − … form, bounded 0–1, so a higher value (approaching 1) means more diverse. Three stages: total the counts for N (= 100), square every proportion, sum them, then 1 − that sum. The two common slips are forgetting the final “1 −” (leaving 0.2622) and dropping a species from the sum. A D of 0.74 here is higher than the 0.54 of the comparison field, so field M is the more diverse.
6

Magnification of a TEM (image ÷ actual)

Paper 1 (AS), 2018, Q23(d)(i)
Microscopy2 marks

On a TEM of a bacterium, the actual length between two points is 4 µm and the image measures about 43 mm. Calculate the magnification, to 3 significant figures.

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The method

  1. Put image and actual sizes in the same units: 43 mm = 43 000 µm
  2. Magnification = image ÷ actual: 43 000 µm ÷ 4 µm = 10 750
  3. Round to 3 significant figures: 10 750 → 10 800
Answer: ×10 800 (accept 10 750; a 42–43 mm read is allowed).
Magnification = image ÷ actual, with both in the same units — convert 43 mm to 43 000 µm before dividing by 4 µm. Students slip by not converting (43 ÷ 4 = 10.75, a thousand times too small) or by wrong significant figures (10 750 → 10 800 to 3 s.f.). Show the 43 000 ÷ 4 working to bank the method mark, and remember magnification has no units.
7

Surface area of a sphere (4πr²) as a scale-up

Paper 1 (A2), 2024, Q33(b)
Geometry2 marks

An apple is modelled as a sphere of diameter 9 cm with 1.2 lenticels per cm². Using surface area of a sphere = 4πr², calculate the mean number of lenticels on one apple.

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The method

  1. Convert the diameter to a radius first: r = 9 ÷ 2 = 4.5 cm
  2. Surface area of the sphere = 4πr²: 4 × π × (4.5)² = 4 × π × 20.25 = 254.5 cm²
  3. Multiply the area by the lenticel density: 254.5 × 1.2 = 305 lenticels
Answer: 305 lenticels (305.36…). A correct surface area alone (254.47 cm²) scores 1.
Two make-or-break moves. First, use the radius: halve the 9 cm diameter to r = 4.5 (using 9 makes the area 4× too big). Second, multiply by 1.2 lenticels per cm², not divide — “per cm²” means “for each cm², multiply”. OCR still credits the surface-area step with 1 mark even if the density step slips, so always show 4πr² first. The chain: diameter → halve → 4πr² → × density.
8

Standard deviation

Paper 1 (A2), 2017, Q33(a)(ii)
Statistics2 marks

Water-uptake rates across three replicates were 7.0, 7.0 and 7.2 mm min⁻¹ (mean 7.07). Calculate the standard deviation.

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The method

  1. Find each deviation from the mean, then square it: (7.0 − 7.07)² = 0.0049 (7.0 − 7.07)² = 0.0049 (7.2 − 7.07)² = 0.0169
  2. Sum and divide by (n − 1): Σ = 0.0267 0.0267 ÷ (3 − 1) = 0.01335
  3. Take the square root: √0.01335 = 0.116 ≈ 0.12
Answer: 0.12 (0.1158).
Standard deviation: deviations from the mean, squared, summed, ÷ (n − 1), square-rooted. The two slips are dividing by n (= 3) instead of n − 1 (= 2), and forgetting the final square root. Lay the squared deviations in a column, sum, ÷ 2, √. A small SD (0.12) relative to the mean (7.07) shows tight, consistent replicates.
9

Rate from a tangent (gradient) with units

Paper 3 (A2), 2017, Q1(a)
Rates2 marks

A fetal growth chart plots biparietal diameter (mm) against gestation (weeks) as a curve that flattens over time. Calculate the rate of growth at 30 weeks on the 95th-percentile curve, and state the units.

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The method

  1. “Rate at a point on a curve” means the gradient of a tangent. The rate is changing, so you cannot just divide a y-value by 30. Draw a single straight tangent touching the curve at 30 weeks.
  2. Read a rise and a run off the tangent and divide: gradient = change in BPD ÷ change in time ≈ 2.7 mm week⁻¹
  3. State the units from the axes: y-units per x-units = mm per week = mm week⁻¹
Answer: ≈ 2.7 mm week⁻¹ (accept 2.35–2.85, because the tangent read varies). Units: mm week⁻¹.
The make-or-break skill is the tangent. Dividing the total BPD by 30 gives an average rate, not the rate at 30 weeks — a curve has a different steepness at every point, so lay a ruler against the curve at 30 weeks and measure the slope of that. OCR explicitly refuses a single-value read (81 ÷ 30) here. The marks are a correct tangent and rise ÷ run with the units copied straight off the axes (mm per week). The wide accepted band (2.35–2.85) reflects that everyone’s tangent differs slightly.
10

Percentage increase from a graph

Paper 1 (A2), 2017, Q32(b)(ii)
Data handling2 marks

On a glucose-tolerance graph, blood glucose was about 7 mmol dm⁻³ at time 0 and about 12 mmol dm⁻³ at 90 minutes. Calculate the percentage increase, to 2 significant figures.

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The method

  1. Find the increase (new − original): 12 − 7 = 5
  2. Divide by the original (time-0) value: 5 ÷ 7 = 0.714
  3. Multiply by 100: 0.714 × 100 = 71.4% ≈ 71%
Answer: 71% (71.4%).
Percentage increase = (change ÷ original) × 100, with the time-0 value (7) as the denominator; the error to avoid is dividing by the new value (12). Read the two graph values accurately first — on a glucose-tolerance graph the glucose and insulin curves share the axis, so use the correct one. Watch the 2-s.f. instruction: 71.43 → 71. Show the (12 − 7) ÷ 7 × 100 working to bank the method mark even if the rounding slips.

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