AQAGCSE10 resourcesFoundation & Higher

AQA GCSE Statistics Past Papers & Mark Schemes

Download free AQA GCSE Statistics (8382) past papers and mark schemes. Foundation and Higher tier. Data handling, probability, and statistical analysis. 34 resources from 2019 to 2024.

📅June 2019 – June 2024📄10 resources availableFree to download

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Year

10 of 10 resources

June 2023

4 files
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GCSE Statistics – Question paper (Modified A4 18pt) (Foundation) : Paper 2 – June 2023

Question PaperFoundation
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GCSE Statistics – Question paper (Modified A4 18pt) (Higher) : Paper 1 – June 2023

Question PaperHigher
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GCSE Statistics – Question paper (Modified A4 18pt) (Higher) : Paper 2 – June 2023

Question PaperHigher
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GCSE Statistics – Insert (Modified A4 18pt) (Higher) : Paper 1 – June 2023

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November 2021

3 files
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GCSE Statistics – Question paper (Modified A4 18pt) (Higher) : Paper 2 – November 2021

Question PaperHigher
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GCSE Statistics – Question paper (Modified A4 18pt) (Foundation) : Paper 1 – November 2021

Question PaperFoundation
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GCSE Statistics – Question paper (Modified A4 18pt) (Higher) : Paper 1 – November 2021

Question PaperHigher

November 2020

3 files
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GCSE Statistics – Question paper (Modified A4 18pt) (Foundation) : Paper 1 – November 2020

Question PaperFoundation
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GCSE Statistics – Question paper (Modified A4 18pt) (Higher) : Paper 1 – November 2020

Question PaperHigher
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GCSE Statistics – Question paper (Modified A4 18pt) (Higher) : Paper 2 – November 2020

Question PaperHigher

About AQA GCSE Statistics

AQA GCSE Statistics (specification code 8382) is a standalone qualification distinct from GCSE Mathematics. It is assessed through two written papers at either Foundation or Higher tier, with 100% written examination — there is no coursework or non-exam assessment component. Students are entered for either Foundation (grades 1–5) or Higher (grades 4–9). Paper 1 and Paper 2 each last 1 hour 30 minutes and are worth 80 marks each. A calculator is permitted in both papers. The content is divided across four topic areas: The Statistical Enquiry Cycle, Data and their collection, Processing, representing, and analysing data, and Probability. The Statistical Enquiry Cycle covers: framing statistical questions, planning data collection, choosing appropriate methods, and interpreting and evaluating results. This underpins the rest of the course and provides context for applied questions in the exam. Data and collection covers: types of data (qualitative, quantitative, discrete, continuous), sampling methods (random, systematic, stratified, cluster, quota, convenience), primary and secondary data, and the design of data collection tools including questionnaires and observation sheets. Processing and representation covers: measures of central tendency (mean, median, mode), measures of spread (range, interquartile range, standard deviation at Higher), cumulative frequency, histograms with unequal class widths, frequency polygons, scatter diagrams, time series, and index numbers. Probability covers: basic probability rules, Venn diagrams, probability trees, conditional probability, and the distinction between theoretical and experimental probability. At Higher tier, questions on probability are more demanding, including combined events and systematic listing strategies. Higher tier papers include harder questions on standard deviation, rank correlation (Spearman's), and more complex data interpretation.

Exam Paper Structure

Paper 1Calculator ✓

The Statistical Enquiry Cycle and Data Collection

1 hour 30 minutes🎯 80 marks📊 50% of grade
The Statistical Enquiry Cycle: framing questions, planning, collecting and evaluatingTypes of data: qualitative, quantitative, discrete, continuousSampling methods: random, systematic, stratified, cluster, quota, convenienceDesign of questionnaires and observation sheets
Paper 2Calculator ✓

Processing, Representing, Analysing and Probability

1 hour 30 minutes🎯 80 marks📊 50% of grade
Measures of central tendency and spread (including standard deviation at Higher)Data representation: histograms with unequal class widths, cumulative frequency, scatter diagrams, time seriesCorrelation, lines of best fit, and Spearman's rank correlation coefficient (Higher)Probability: Venn diagrams, probability trees, and conditional probability (Higher)

Key Information

Exam BoardAQA
Specification Code8382
QualificationGCSE
Grading Scale9–1
Assessment Type2 written exams, each 50% (Foundation tier: grades 1–5; Higher tier: grades 4–9)
Number Of Papers2
Exam Duration1 hour 30 minutes per paper
Total Marks80 per paper
Calculator StatusCalculator permitted in both papers
Available SessionsJune 2019 – June 2024
Total Resources34

Foundation & Higher Tiers

FoundationGrades 1–5

Foundation tier covers core statistical techniques: measures of average, range, basic charts and graphs, sampling, and basic probability. Questions use accessible datasets with structured guidance.

HigherGrades 4–9

Higher tier extends to standard deviation, Spearman's rank correlation coefficient, more complex probability (conditional probability, combined events), and critical evaluation of statistical methods.

Key Topics in Statistics

Topics you need to know

Statistical Enquiry Cycle: hypothesis formulation, planning, collection, and evaluationSampling methods and their relative advantages and disadvantagesMeasures of average: mean (including from grouped data), median, modeMeasures of spread: range, interquartile range, and standard deviation (Higher)Data representation: histograms with unequal class widths, cumulative frequency curvesScatter diagrams, correlation, lines of best fit, and Spearman's rank correlation (Higher)Probability: theoretical vs experimental, Venn diagrams, probability trees, conditional probability

Exam Command Words

Command wordWhat the examiner expects
CalculatePerform a numerical computation, showing all working clearly
DescribeComment on a trend, pattern or correlation visible in a diagram or dataset
InterpretExplain what a statistical result or measure means in the context of the question
ExplainGive reasons why a particular statistical method is or is not appropriate for a scenario
CompareIdentify similarities and differences between two data sets using appropriate statistical measures
DrawProduce a graph, chart or diagram accurately, labelling all relevant features
CommentEvaluate a conclusion, claim or statistical statement made from data

Typical Grade Boundaries

GradeApproximate mark needed
Grade 974–84%
Grade 863–73%
Grade 752–62%
Grade 643–51%
Grade 534–42%
Grade 425–33%

⚠️ Typical Higher tier boundaries across two papers (160 total marks). Foundation tier boundaries differ. Actual boundaries vary by series — check AQA's website.

How to Use AQA GCSE Statistics Past Papers Effectively

GCSE Statistics is heavily applied — questions typically provide a dataset or scenario and ask you to choose, perform, and evaluate a statistical technique. Past papers are the best preparation because they replicate this applied structure. When practising, focus on understanding why a technique is appropriate, not just how to perform it — the exam frequently asks 'explain why this sampling method was appropriate' or 'comment on the reliability of this conclusion'. For data representation questions, practise drawing and interpreting histograms with unequal class widths. The key relationship is frequency = frequency density × class width — a common error is reading frequency directly from the y-axis without accounting for the class width. Similarly, for cumulative frequency graphs, practise estimating medians and quartiles accurately from the curve rather than reading off the table. Standard deviation (Higher tier) appears regularly. Know the formula and work through it methodically in past papers. Exam questions typically provide the data and ask you to calculate and then interpret the value — a larger standard deviation indicates greater spread, which you should link to the context of the question. For probability, tree diagrams are reliable mark earners if drawn carefully. Label all branches with probabilities, ensure each branch set sums to 1, and multiply along branches for combined outcomes. Venn diagram questions often appear as 4-mark problems — fill in the intersection first, then work outward.

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