Skip to content

Worked examples

A spread of the maths skills examined across Edexcel International Units 1–6: all four of its statistical tests (the Student’s t-test, Spearman’s rank, chi-squared and the Mann–Whitney U test), the Hardy–Weinberg equation, the index of diversity, the Michaelis–Menten enzyme equation, the bacterial growth-rate constant, the Q10 temperature coefficient and the volume of a sphere. Units 3 and 6 (the practical-skills exams) carry the heaviest maths load. Click any example to expand the full method. Video walk-throughs are being added.

1

The Student’s t-test — calculating t

Unit 6 (A2), October 2020, Q2(d)(i)
Statistics3 marks

Leaf lengths were compared for insecticide-treated and water-treated thistles (n = 15 each). The means are x̄₁ = 12.6 cm and x̄₂ = 9.8 cm, and the two variance terms give a standard error of the difference of 0.272. Using t = |x̄₁ − x̄₂| ÷ √[(S₁²÷n) + (S₂²÷n)], calculate the value of t.

Video tutorial coming soonReplace this box with your YouTube embed

The method

  1. Top line — difference between the means: | 12.6 − 9.8 | = 2.8
  2. Bottom line — the standard error of the difference (built from the two variances, each ÷ n, added and square-rooted): √[(S₁²÷15) + (S₂²÷15)] = 0.272
  3. Divide top by bottom for t: t = 2.8 ÷ 0.272 = 10.3
Answer: t = 10.3 (10.31). This is then compared with the critical value (df = n₁ + n₂ − 2 = 28; critical value at p = 0.05 is 2.048) — 10.31 far exceeds it, so reject the null hypothesis.
The t-test compares two means. Build it in two halves: the top line is the difference between the means (2.8); the bottom line is the standard error of the difference — √[(S²/n) added for each group] (0.272). Then divide. A large t (10.3) signals a big, clear difference. Decision rule: if calculated t ≥ critical value, reject H₀.
2

Spearman’s rank correlation coefficient

Unit 6 (A2), October 2021, Q3(c)(i)
Statistics2 marks

Marram-grass leaf length was ranked against position on a sand dune for n = 7 sampling points, giving Σd² = 8. Using rₛ = 1 − [6Σd² ÷ n(n² − 1)], calculate rₛ.

Video tutorial coming soonReplace this box with your YouTube embed

The method

  1. Denominator n(n² − 1): 7 × (49 − 1) = 7 × 48 = 336
  2. Numerator 6Σd²: 6 × 8 = 48
  3. Divide, then subtract from 1: rₛ = 1 − (48 ÷ 336) = 1 − 0.143 = 0.857
Answer: rₛ = 0.857 (0.86). The critical value at n = 7 (p = 0.05) is 0.786; 0.857 exceeds it, so reject the null hypothesis — a significant positive correlation (longer leaves higher up the dune).
Spearman’s measures correlation between two ranked variables. Compute the two parts separately (n(n²−1) = 336; 6Σd² = 48), divide, then subtract from 1 — the easy step to forget. A value near +1 (0.857) means a strong positive correlation; compare its magnitude with the critical value to judge significance.
3

Chi-squared — calculating χ²

Unit 1 (AS), October 2021, Q8(c)(ii)–(iii)
Statistics3 marks

Chick plumage was tested against a 2:1:1 ratio. Observed: speckled 243, white 125, black 112 (total 480). Expected: speckled 240, white 120, black 120. Using χ² = Σ[(O − E)² ÷ E], calculate χ².

Video tutorial coming soonReplace this box with your YouTube embed

The method

  1. For each colour, (O − E), squared, ÷ E: speckled: (243 − 240)² ÷ 240 = 9 ÷ 240 = 0.0375 white: (125 − 120)² ÷ 120 = 25 ÷ 120 = 0.2083 black: (112 − 120)² ÷ 120 = 64 ÷ 120 = 0.5333
  2. Sum the three terms for χ²: 0.0375 + 0.2083 + 0.5333 = 0.78
Answer: χ² = 0.78 (0.779). With df = categories − 1 = 2, this is well below the critical value (5.99 at p = 0.05), so accept the null hypothesis — the results fit the 2:1:1 ratio.
Each category contributes (O−E)²÷E; (O−E)² is always positive (black’s −8 squares to +64). Sum the column for χ². Degrees of freedom = number of categories − 1 = 2. Decision rule: if χ² is smaller than the critical value, the difference from expected is not significant.
4

The Mann–Whitney U test

Unit 6 (A2), June 2021, Q2(d)(i)–(ii)
Statistics3 marks

Biomass of two switchgrass varieties was compared using ranks. With the rank sums (R) and sample sizes given, use U = n₁n₂ + [n(n + 1) ÷ 2] − R for each group and take the smaller U. The calculated U = 19.5 and the critical value is 8 — state the conclusion.

Video tutorial coming soonReplace this box with your YouTube embed

The method

  1. Compute U for each group from the formula, substituting that group’s rank sum R and the two sample sizes, then take the smaller U: U = 19.5
  2. Compare with the critical value — note the reversed rule: 19.5 > 8 (U is NOT ≤ critical value)
  3. Conclude: because U is greater than the critical value, accept the null hypothesis — no significant difference.
Answer: U = 19.5; since 19.5 > 8, accept H₀ — no significant difference between the two varieties’ biomass.
The Mann–Whitney U test compares two independent samples using their ranks — a non-parametric alternative to the t-test. Compute U for each group, take the smaller. The decision rule is the reverse of t and chi-squared: reject H₀ only if U is the critical value. Here 19.5 > 8, so the difference is not significant.
5

Hardy–Weinberg — allele frequencies

Unit 2 (AS), January 2021, Q6(c)
Genetics3 marks

Of 610 individuals, 140 show the homozygous-recessive phenotype (frequency = q²). Using p² + 2pq + q² = 1 and p + q = 1, find the dominant allele frequency p to two decimal places.

Video tutorial coming soonReplace this box with your YouTube embed

The method

  1. Find q² as a proportion, then q (square root): q² = 140 ÷ 610 = 0.23 q = √0.23 = 0.48
  2. Find p (p + q = 1): p = 1 − 0.48 = 0.52
Answer: p = 0.52 (q = 0.48; q² = 0.23).
Hardy–Weinberg always starts from the homozygous recessive, whose frequency is q². Turn the count into a proportion (140÷610 = 0.23), square-root for q (0.48), then p = 1 − q (0.52). The carrier frequency, if asked, is 2pq. Watch the wording: sometimes q is given directly and no square root is needed.
6

Index of diversity (the IAL formula)

Unit 2 (AS), June 2021, Q7(c)(i)
Ecology3 marks

Species counts were A 21, B 2, C 4, D 13, E 54, F 15, G 6, H 32 (total N = 147). Using the index of diversity D = N(N − 1) ÷ Σn(n − 1), calculate D to one decimal place.

Video tutorial coming soonReplace this box with your YouTube embed

The method

  1. Σn(n−1) — each species’ n(n−1), then add: (21×20)+(2×1)+(4×3)+(13×12)+(54×53)+(15×14)+(6×5)+(32×31) = 420 + 2 + 12 + 156 + 2862 + 210 + 30 + 992 = 4684
  2. Numerator N(N−1): 147 × 146 = 21 462
  3. Divide: D = 21 462 ÷ 4684 = 4.6
Answer: D = 4.6 (4.58).
This is the reciprocal index of diversity D = N(N−1) ÷ Σn(n−1) — a higher value means more diverse. It is NOT the “1 − …” version, so don’t subtract from 1. Total all counts for N (147), work out each species’ n(n−1) for the denominator (4684), then divide.
7

The Michaelis–Menten equation (enzyme rate)

Unit 1 (AS), January 2020, Q3(c)(ii)
Enzymes2 marks

From the graph, Vmax = 50 and the Michaelis constant K = 1.9. At a substrate concentration S = 4, use V = (Vmax × S) ÷ (K + S) to find the rate V.

Video tutorial coming soonReplace this box with your YouTube embed

The method

  1. Substitute Vmax, K and S: V = (50 × 4) ÷ (1.9 + 4)
  2. Work the top and bottom, then divide last: V = 200 ÷ 5.9 = 33.9
Answer: V ≈ 33.9 (34).
The Michaelis–Menten equation V = Vmax·S ÷ (K + S) gives the rate of an enzyme reaction. Read Vmax and K off the graph, substitute S, then do the division last — the whole top (Vmax × S) over the whole bottom (K + S). Keep the denominator as a single bracket so you don’t divide too early.
8

Bacterial growth-rate constant (from logs)

Unit 4 (A2), January 2020, Q9(d)
Microbiology3 marks

During exponential growth the equation gives 0.963 = (7.079 − 3.778) ÷ (0.301 × t), where 7.079 and 3.778 are the log₁₀ of the two cell counts and 0.301 = log₁₀2. Calculate the time t, in hours.

Video tutorial coming soonReplace this box with your YouTube embed

The method

  1. Numerator — difference of the logs: 7.079 − 3.778 = 3.301
  2. Rearrange for t and substitute: 0.963 × 0.301 × t = 3.301 0.289863 × t = 3.301
  3. Divide: t = 3.301 ÷ 0.289863 = 11.4 hours
Answer: t ≈ 11.4 hours (11.39).
The growth-rate constant uses logs of the cell counts. Take the difference of the two logs first (3.301), keep 0.301 (= log₁₀2) in the denominator, then rearrange to make t the subject and divide. Don’t take a “log of a log” — the counts are already logged.
9

Q₁₀ temperature coefficient

Unit 4 (A2), January 2026, Q2(b)
Enzymes1 mark

From a graph of rate against temperature, the rate at 20 °C is about 22 a.u. and at 30 °C about 34 a.u. Using Q₁₀ = rate at (t + 10 °C) ÷ rate at t °C, calculate Q₁₀.

Video tutorial coming soonReplace this box with your YouTube embed

The method

  1. Read both rates — numerator is the higher temperature: rate at 30 °C = 34; rate at 20 °C = 22
  2. Divide the higher-temperature rate by the lower: Q₁₀ = 34 ÷ 22 = 1.55
Answer: Q₁₀ = 1.55.
Q₁₀ is always the rate 10 °C up divided by the rate now — the numerator is the higher temperature. Dividing the wrong way round gives the reciprocal (~0.65), a classic trap. A Q₁₀ near 2 is typical for enzyme reactions; ~1.5 here shows the reaction is slowing as it nears its optimum.
10

Volume of a sphere, then a ratio

Unit 1 (AS), October 2020, Q8(c)(i)
Geometry3 marks

An LDL particle has a given diameter; its volume is V = ⁴⁄₃πr³ (using π ≈ 3.14). A cholesterol molecule has a known volume. Work out the LDL volume and express the ratio of LDL volume to cholesterol volume.

Video tutorial coming soonReplace this box with your YouTube embed

The method

  1. Volume of the LDL particle (⁴⁄₃πr³, halving the diameter for r): V ≈ 7235 nm³
  2. Form the ratio LDL : cholesterol and simplify: ≈ 14 : 1
Answer: ≈ 14 : 1 (13 : 1 if π = 3 is used).
Volume of a sphere = ⁴⁄₃πr³ — halve the diameter for the radius first, then cube it. Round the volume to a whole number before forming the ratio with the cholesterol volume. The value of π you use shifts the answer slightly (14:1 with 3.14, 13:1 with 3).

Get the full worked solution packs

Complete step-by-step solutions to every maths question in the database — written as teaching scripts with common-mistake warnings — are available as a downloadable PDF pack covering all three series across 2019–2026.

A complete Edexcel International maths worked-solutions pack — every unit and series, 2019–2026.