Topic frequency
How often each topic actually gets tested
Not an official Pearson weighting — Pearson doesn’t publish one for this paper. This is what this course’s own research found by reading real mark schemes and examiner reports series by series, counted honestly rather than assumed. Use it to prioritise review time, not to assume a topic near the bottom won’t appear.
Richest by series count
The Normal distribution: standardisation and conditional probability
6.1/3.2Confirmed tested, with at least one full question devoted to it, in 5 of the 6 series with a fully-read examiner report (Jan 2021, Oct 2021, Jun 2022, Jan 2023, Jun 2024) — the richest single sub-topic in the whole facts bank, and the single largest question on the one series with a full mark-weight reconstruction (17 of 75 marks, Jan 2023). The conditional-probability sub-part, when present, is consistently the last lettered part of its question and is repeatedly flagged as the paper's most discriminating content.
Outliers, box plots, and comparing distributions
2.1/2.4Confirmed in 5 of the 6 series with a fully-read examiner report (Jan 2021, Oct 2021, Jun 2022, Jun 2024, Jun 2019) as its own tested skill, distinct from histogram-reading, mean/SD or coding. Never a standalone question — always a part-set inside a larger opening Section-2 question — and three genuinely distinct angles recur: fence-rule application, box-plot/whisker construction, and comparing two distributions in words.
Also very heavily tested
Conditional probability: independence vs. mutually exclusive
3.2/3.3Confirmed in 4 of the 6 series with a fully-read examiner report (Jan 2021, Oct 2021, Jun 2022, Jan 2023) — independence and mutual exclusivity treated as a calculation, not a judgment. The more damaging of two recurring angles is a silent assumption buried inside an unrelated calculation, which Pearson's own Jun 2022 report names as a paper-wide diagnosis, not a one-question slip.
Elementary probability and conditional-probability notation
3.1/3.2Confirmed in 4 of the 6 series with a fully-read examiner report (Jan 2021, Oct 2021, Jun 2022, Jan 2023) — this topic's own notation/counting error, distinct from the sibling independence-judgment brief. Spec 3.1 alone has no standalone question anywhere in the 14-series archive; every citation is really a 3.1+3.2 composite, and the recurring failure is miscounting exactly which terms belong in a conditional probability's numerator.
Measures of location and dispersion (mean, coding, standard deviation, interpolation)
2.2/2.3Confirmed in 4 of the 6 series with a fully-read examiner report (Jan 2021, Oct 2021, Jun 2022, Jan 2023) for this lesson's own core — narrower than the paper-wide Section-2 'confirmed every series' figure, which pools in histogram-reading and outliers. The one thread that repeats across series, not just within one, is a squaring step in variance/SD arithmetic dropped or mishandled.
Reading data representations, and comparing distributions in words
2.1 (plus 2.1/2.4)Confirmed in 4 of the 6 series with a fully-read examiner report (Jan 2023, Jun 2022, Oct 2021, Jun 2024), splitting into two sub-skills that don't always co-occur: reading a histogram or stem-and-leaf diagram (2 of 6) and comparing two distributions in words (3 of 6). The comparing-in-words step is never standalone — always the final sub-part of whichever data-representation question that series builds — and most often opens the paper as part of Q1.
Regression: gradient interpretation and extrapolation/reliability
4.1/4.2Confirmed in 4 of the 6 series with a fully-read examiner report (Oct 2021, Jun 2022, Jan 2023, Jun 2024), always the back half of a larger regression question, never its own. Two failure families recur: reading the gradient at the wrong scale of the explanatory variable, and a bare direction-only sentence with no rate of change attached — a reliability verdict with no named reference point ('extrapolation' alone) is confirmed worthless in two separate series.
Solidly, repeatedly tested
Product moment correlation coefficient calculation
4.3Confirmed in 3 of the 6 series with a fully-read examiner report (Oct 2021, Jun 2022, Jun 2024) — the PMCC calculation itself, correcting an earlier synthesis that had missed the Jun 2022 instance. Never a standalone question; always one early-middle part of a larger correlation-and-regression question, with at least one sum already given rather than built from raw data unaided.
"Show that" answer discipline
cross-cutting: 2.3/2.4/4.1/5.3/6.1Confirmed in 3 of the 6 series with a fully-read examiner report (Oct 2021, Jan 2023, Jun 2024) — stricter than one existing synthesis's '4 of 6,' which counts a converse, non-'show that' case rather than a real instance. Cross-cutting by spec section (confirmed in Sections 2, 4, 5 and 6; no confirmed instance in Section 3); risk concentrates in the final mark of the part, an A1cso or A1*, not spread evenly.
Thinner, but examinable
Discrete random variables: the probability function
5.1/5.2/5.4Narrowed to this lesson's own scope (excluding the E(aX+b)/Var(aX+b) sibling topic), confirmed in 2 of the 6 series with a fully-read examiner report by direct quote (Oct 2021, Jun 2022), plus a 1-mark mark-scheme-only instance (Jun 2024) and one series outside the 6-series base entirely (Jan 2025, where it carried a full opening question worth 15 of 75 marks). The discrete uniform distribution has never anchored a multi-part question by itself in the reviewed record.
Expectation and variance of linear transformations
5.3Confirmed in 2 of the 6 series with a fully-read examiner report (Jan 2021, Jun 2024 — Jun 2024 contributing two separate questions), narrower than a facts-bank summary line that rounds this to '3 separate series.' The single most-repeated error, three times over two series, is dropping the square in Var(aX+b)=a²Var(X); both real anchors are unsolvable unless the variance equation is solved before the mean equation.
Mathematical modelling in probability and statistics
1.1No standalone question testing mathematical modelling in isolation exists anywhere in the 14-series archive — a confirmed absence, not an unchecked gap. The concept surfaces only as a single opening B1 mark tied to a stated assumption (Jan 2025 Q1(a)) or as a silent, embedded trap inside a probability or regression-reliability question (both instances Jun 2022) — every credited answer is specific (a named distribution family, or a named value and range), never a generic qualitative statement.
Sampling, tree diagrams and Venn diagrams
3.1–3.4This lesson has no dedicated topic brief in this course's research, unlike every other WST01 lesson — its content is folded into the paper-wide table's pooled 'Probability, 3.1–3.4: seen in 4 of 6' row alongside conditional probability and independence, and cannot be honestly isolated from that pooled figure with what this course has verified so far. Too thin a base to tier on its own evidence; treat this row as a flagged gap in the research, not a frequency finding.