ST24: Statistical Writing & Communication

Edexcel 1ST0 & AQA 8382

Develops skills in writing clear statistical answers in context, using data to support conclusions, avoiding vague statements, comparing distributions properly with both location and spread, and communicating findings to different audiences.

Exam Board:

Statistical Writing & Communication

Key Fact: Always write answers in the context of the question: if the data is about rainfall, say ‘rainfall’ not ‘the data’ or ‘the values’

Key Fact: Support every statement with a specific data value: ‘The median rainfall in July (68 mm) was higher than in April (42 mm)’

Key Fact: Avoid vague language: replace ‘quite high’, ‘bigger’, ‘a lot’ with precise values and comparisons

Key Fact: When comparing distributions, always compare both location (median/mean) AND spread (IQR/range/SD)

Key Fact: Use comparative conjunctions: ‘higher than’, ‘lower than’, ‘more spread than’, ‘less variable than’

Key Fact: When describing a graph or chart, comment on: overall pattern, key features (peaks, troughs), any anomalies, and the shape of the distribution

Key Fact: In a conclusion, state whether the hypothesis is supported, quote supporting data, and note any limitations

Key Fact: When communicating to a non-specialist audience, avoid technical jargon or explain it; use everyday language with statistics to back up claims

Key Fact: A good statistical sentence has three parts: observation + evidence + context (e.g. ‘On average, girls scored higher (median 72 vs 65), which may reflect greater engagement with homework’)

Key Fact: When writing about correlation, state the direction and strength, then distinguish correlation from causation

Key Fact: Use connective words to structure answers: ‘however’, ‘whereas’, ‘in contrast’, ‘furthermore’ for coherent arguments

Key Fact: Never just describe a visual pattern without quoting numbers: ‘the bar is higher’ earns no marks; ‘the bar for London (3.2 million) is roughly double that for Bristol (1.6 million)’ does

📋 Key Vocabulary and Concepts

For Statistical Writing & Communication, you must know:

Writing in context: Using the subject matter of the question (e.g. temperatures, prices) rather than generic terms like ‘the data’
Comparative language: Words that directly compare: ‘higher than’, ‘more than’, ‘less spread than’, ‘twice as large as’
Vague statement: A claim without specific data evidence, e.g. ‘Group A is generally better’ instead of ‘Group A’s median (58) exceeds Group B’s (43)’
Supported conclusion: A conclusion that references specific data values and links them to the hypothesis
Limitation: A weakness or constraint of the data or method that affects the reliability of conclusions
Causation vs correlation: Correlation means two variables are related; causation means one directly affects the other — correlation does not imply causation

❓ Practice Questions

Q: Rewrite this vague answer: ‘The boys did better than the girls.’

Q: A student writes: ‘The data is quite spread out.’ How could this be improved?

Q: Compare these two distributions: Town A (median £28 000, IQR £12 000) and Town B (median £32 000, IQR £6 000).

Q: A student concludes: ‘There is a positive correlation between ice cream sales and temperature, so higher temperatures cause more ice cream sales.’ What is wrong with this statement?

Q: How should you adapt a statistical report about house prices for (a) an estate agent and (b) a Year 10 class?

✅ Answers

‘The boys had a higher median score (68) than the girls (55), a difference of 13 marks, suggesting the boys performed better on average.’
Quote a measure of spread with units: ‘The IQR is 24 marks, meaning the middle 50% of students scored within a 24-mark range, which shows moderate spread.’
Town B has a higher median income (£32 000 vs £28 000), so residents earn more on average. However, Town A’s incomes are more spread (IQR £12 000 vs £6 000), indicating greater variation in earnings. Town B’s incomes are more consistent.
Correlation does not imply causation. While the variables are positively correlated, causation cannot be confirmed from observational data alone. There may be confounding variables (e.g. holidays, sunshine hours). The correct phrasing is ‘higher temperatures are associated with more ice cream sales’.
(a) Use professional terminology (median, quartile), reference precise figures, and focus on market trends. (b) Use simpler language (middle value instead of median), explain technical terms, and use visual comparisons like ‘the typical house costs about as much as 8 years of average salary’.

🎯 Exam Tips

Every sentence in a statistical answer should contain at least one specific number from the data
When comparing, write about both groups in the same sentence using ‘than’ or ‘compared to’
Never use ‘the data shows’ — name the variable: ‘the rainfall data shows’ or ‘the temperatures show’
Structure longer answers: (1) state the finding, (2) give the evidence, (3) link to context or hypothesis
If a question asks ‘What does this tell you about…’, give both a statistical observation and a real-world interpretation

📝 Exam Technique

GCSE Statistics Exam Tips — Statistical Writing & Communication:
1. For Statistical Writing & Communication questions, show every step of your working clearly — method marks count even if the final answer is wrong
2. Check your answer makes sense in context (estimation, units, reasonableness)
3. Use correct mathematical notation and state formulae before substituting values
4. If a Statistical Writing & Communication question asks you to 'prove' or 'show', write a logical chain of reasoning with a conclusion line
5. For problem-solving, identify the topic first, then recall the relevant method

⚠️ Common Errors

✗ Writing ‘Group A is bigger’ without specifying what is bigger and by how much ✓ Write ‘Group A’s median (45) is 12 more than Group B’s (33)’

✗ Confusing correlation with causation in written answers ✓ Use ‘associated with’ or ‘linked to’ rather than ‘causes’ unless the study design establishes causation

✗ Only comparing one aspect (e.g. just the median) when asked to compare distributions ✓ Always compare location (median/mean) and spread (IQR/range)

✗ Using generic terms instead of the variable name from the question ✓ Replace ‘it’, ‘the data’, ‘the values’ with the actual variable: ‘the heights’, ‘the prices’, ‘the scores’

✍️ Model Answer

Full-Mark Response

A study compares weekly screen time for two age groups. 11–14 year olds: median 21 hours, IQR 10 hours. 15–18 year olds: median 28 hours, IQR 14 hours. Write a comparison.

The 15–18 age group spends more time on screens on average, with a median of 28 hours per week compared to 21 hours for the 11–14 age group, a difference of 7 hours. The 15–18 group also shows greater variability in screen time, with an IQR of 14 hours compared to 10 hours for the younger group. This means the middle 50% of 15–18 year olds span a wider range of screen time (14 hours) than the 11–14 year olds (10 hours). The higher median and greater spread for the older group may reflect increased independent phone use and social media activity in later teenage years, though this study cannot establish the cause.

📊 AO Deep Dive

Assessment Objective Analysis

AO1 (Knowledge & Understanding): Demonstrate knowledge and understanding of statistical writing & communication, including data collection, presentation and calculation techniques relevant to Edexcel 1ST0 & AQA 8382.

AO2 (Application): Apply knowledge and understanding of statistical writing & communication to interpret data, reason statistically and draw conclusions in context.

AO3 (Evaluation): Evaluate statistical methods and conclusions, assessing appropriateness, reliability, validity and bias through the statistical enquiry cycle.

📝 Exam Questions by Topic

AQA Past Papers - Topic Questions -- AQA
Edexcel Past Papers - Topic Questions -- Edexcel
CCEA Past Papers - Topic Questions -- CCEA

🎬 Video Resources

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