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Examiner Insights · IAL S1 (WST01)

What the examiners said about IAL S1 (WST01) — and exactly what to do about it

We read every Pearson Edexcel examiner report for WST01 from June 2024 to June 2025, mapped each question to a topic, and turned the comments into a checklist of the mistakes that cost the most marks.

  • 4exam series analysed
  • 4examiner reports read
  • 28questions mapped to topics
  • 9top mark-losing mistakes

Summaries are in our own words with links to the originals. Predictions are informed guesses, not a guarantee.

Ranked for January 2027

What to focus on for January 2027

IAL units are sat in January, June and October. The October 2026 series is next; the ranking below is for your next sitting, whichever it is. Ranked by how often each area appeared, how many marks it carried and how weakly it was answered.

Informed prediction, not a guarantee: any topic on the specification can be examined.

  1. 1

    Probability: Venn, trees, independence

    Every series and the largest single block (13–17 marks).

    High confidenceevery series
  2. 2

    The normal distribution with standardisation shown

    10–17 marks each series.

    High confidenceevery series
  3. 3

    Quartiles, outliers and coding

    Every series, rising to 21 marks in June 2025 with coding flagged.

    High confidenceevery series
  4. 4

    Discrete random variables and cdfs

    One question each series (9–15 marks).

    High confidenceevery series
  5. 5

    Correlation and regression

    Every series (7–13 marks).

    High confidenceevery series
  6. 6

    Stem-and-leaf, histograms and box plots

    Every series; keys and frequency density.

    Medium confidenceevery series
Mistakes library

The 9 mistakes that cost the most marks

Ordered by how often and how widely they were reported. The first 5 are free in full; Pro unlocks the fix and a worked example for every other one.

#1Standardisation not shown when the question requires it

What examiners saw: The paper states calculator-only solutions are not acceptable for some normal questions. Answers without the z-value line lose the method mark, and some then subtract a correct answer from 1.

Fix: Write P(X < a) = P(Z < (a − μ)/σ) before the probability. Sketch to decide the tail.

Worked example (our own): X ~ N(20, 4²). Find P(X < 26), showing the standardisation.

Loses marks

  1. P(X < 26) = 0.9332 (calculator only)

Earns the marks

  1. P(X < 26) = P(Z < (26 − 20)/4) = P(Z < 1.5)
  2. = 0.9332

Why: If the question says the standardisation must be seen, write the z-value line. Do not then subtract from 1 unless you want the upper tail.

Reported in: WST01/01 October 2024 Q4; WST01/01 January 2025 Q5; WST01/01 June 2024 Q5; WST01/01 June 2025 Q6

#2Outliers: rule applied but no conclusion

What examiners saw: Fences are calculated but the answer never says which values are outliers (and which are not), or the given quartiles are ignored.

Fix: Calculate both fences, compare the extreme values, and name the outlier(s).

Worked example (our own): Q₁ = 20, Q₃ = 30. The largest value is 48. Outliers are values more than 1.5 × IQR beyond the quartiles. Show that there is exactly one outlier (the next largest value is 41).

Loses marks

  1. Upper limit 45, so there are outliers.

Earns the marks

  1. IQR = 30 − 20 = 10; upper limit = 30 + 1.5 × 10 = 45
  2. 48 > 45, but 41 < 45
  3. So 48 is the only outlier at the top end

Why: State which value is an outlier and why the others are not. "Show that" needs the conclusion.

Reported in: WST01/01 June 2024 Q1; WST01/01 October 2024 Q8; WST01/01 June 2025 Q5

#3Comparisons without figures or context

What examiners saw: Asked to compare two distributions, candidates describe skew incorrectly or make claims without quoting any values.

Fix: Compare a location measure and a spread measure, quote both values, and say what the difference means in context.

Worked example (our own): A student says "the sample of 5 runners shows coach B is better because the sd is larger". Comment.

Loses marks

  1. "Coach B has a bigger standard deviation."

Earns the marks

  1. Coach B's times are more spread out (larger sd), so coach B is more likely to produce an extreme time, including the fastest one.
  2. With only 5 runners, the evidence is weak: a larger sample would be needed.

Why: "Explain" and "interpret" marks need a statement about the context (runners, times), not a restatement of the number.

Reported in: WST01/01 June 2024 Q1(e); WST01/01 June 2025 Q5(e)

#4Histograms: frequency density and reading scales

What examiners saw: Bar heights are read as frequencies, frequency density is used for the wrong bars, and the width/height of a new bar is wrong.

Fix: Area ∝ frequency: frequency = frequency density × width. Find the scale from a bar you know.

Worked example (our own): On a histogram, the bar for 10 ≤ x < 15 has frequency 30. Another bar, 15 ≤ x < 25, has frequency density 2. Find its frequency.

Loses marks

  1. Frequency = 2 (reading the height)

Earns the marks

  1. Frequency density = frequency ÷ class width
  2. 15 ≤ x < 25 has width 10, so frequency = 2 × 10 = 20

Why: On a histogram the AREA is frequency. Check the scale using a bar you know.

Reported in: WST01/01 June 2024 Q3; WST01/01 October 2024 Q5; WST01/01 June 2025 Q5

#5Sxx and Sxy "show that": numbers not substituted

What examiners saw: Quoting the formula and the given answer, without a substituted line, loses the mark.

Fix: Write the formula, substitute the numbers visibly, then simplify to the printed value.

Worked example (our own): Given Σx = 20, Σx² = 100 and n = 5, show that Sxx = 20.

Loses marks

  1. Sxx = Σx² − (Σx)²/n = 20

Earns the marks

  1. Sxx = Σx² − (Σx)²/n = 100 − 20²/5
  2. = 100 − 400/5 = 100 − 80 = 20

Why: In a "show that", substitute the numbers into the formula visibly. Quoting the formula and the answer is not enough.

Reported in: WST01/01 June 2024 Q4; WST01/01 October 2024 Q2; WST01/01 January 2025 Q6

Paper by paper

Every paper we analysed, question by question

Topics are ours (matched from each report's question-by-question comments). We don't reproduce the questions: open the official paper from our past-paper page.

June 2025 · WST01/01 · 7 questions · 75 marks

Official examiner report

QTopicMarks
Q1Discrete random variables9
Q2Coding; Measures of location & spread7
Q3Coding; Correlation & regression14
Q4Probability & Venn diagrams; Conditional probability4
Q5Data representation & summary statistics; Measures of location & spread14
Q6The normal distribution; Standardising & z-values14
Q7Conditional probability13
January 2025 · WST01/01 · 7 questions · 75 marks

Official examiner report

QTopicMarks
Q1Discrete random variables15
Q2Measures of location & spread; Data representation & summary statistics12
Q3Conditional probability6
Q4Probability & Venn diagrams9
Q5The normal distribution; Standardising & z-values13
Q6Correlation & regression12
Q7Measures of location & spread; The normal distribution8
October 2024 · WST01/01 · 8 questions · 75 marks

Official examiner report

QTopicMarks
Q1Data representation & summary statistics10
Q2Correlation & regression11
Q3Probability & Venn diagrams8
Q4The normal distribution; Standardising & z-values5
Q5Data representation & summary statistics8
Q6Discrete random variables14
Q7Conditional probability9
Q8The normal distribution; Measures of location & spread10
June 2024 · WST01/01 · 6 questions · 75 marks

Official examiner report · This paper on our past-paper page

QTopicMarks
Q1Data representation & summary statistics; Measures of location & spread13
Q2Discrete random variables12
Q3Data representation & summary statistics; Measures of location & spread14
Q4Correlation & regression13
Q5The normal distribution; Standardising & z-values10
Q6Probability & Venn diagrams; Conditional probability13
Pro

Your mistakes vs the examiners' hot-spots

We match your own practice history to this course's mistakes library and list the ones you are most at risk of, with a practice link for each.

Also on your dashboard.

Free download

Top 10 mistakes examiners see in IAL S1 (WST01)

A one-page PDF of the ten most common mark-losing mistakes and how to avoid them. Print it and stick it inside your revision folder.

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Sources

Where this comes from

We read the examiner report for every series from June 2024 to June 2025 in full and matched each question to a topic; marks come from the published mark schemes where the per-question totals could be checked against the paper total.

FAQ

What do examiners say students get wrong in IAL S1 (WST01)?

The most repeated points are: Standardisation not shown when the question requires it; Outliers; Comparisons without figures or context. Each one on this page has the fix and, where free, a worked example showing the wrong and right method.

Which IAL S1 (WST01) topics come up most?

In the material we analysed, the biggest areas were Probability, Venn and tree diagrams, The normal distribution, Location, spread, outliers and coding.

Is this a prediction of the January 2027 paper?

No one outside the exam board knows what will be on the next paper. The "focus" list is an informed prediction from how often topics appeared and how weakly they were answered; it is not a guarantee, so revise the whole specification.

Where does this information come from?

We read 4 Pearson Edexcel examiner reports (June 2024, October 2024, January 2025, June 2025) in full, summarised them in our own words and linked each point to the original.