Pearson EdexcelA-Level93 resources

Pearson Edexcel A-Level Statistics Past Papers & Mark Schemes

Download free Pearson Edexcel A-Level Statistics past papers, mark schemes & examiner reports. 63 resources.

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93 of 93 resources — page 1 of 4

June 2023

6 files

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GCSE Statistics – Mark scheme (Foundation) : Paper 2 – June 2023

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GCSE Statistics – Question paper (Foundation) : Paper 2 – June 2023

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GCSE Statistics – Mark scheme (Higher) : Paper 1 – June 2023

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GCSE Statistics – Question paper (Higher) : Paper 1 – June 2023

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GCSE Statistics – Insert (Higher) : Paper 1 – June 2023

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GCSE Statistics – Mark scheme (Higher) : Paper 2 – June 2023

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June 2022

8 files

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GCSE Statistics – Mark scheme (Foundation) : Paper 2 – June 2022

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GCSE Statistics – Question paper (Foundation) : Paper 2 – June 2022

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GCSE Statistics – Mark scheme (Higher) : Paper 1 – June 2022

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GCSE Statistics – Question paper (Higher) : Paper 1 – June 2022

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GCSE Statistics – Insert (Higher) : Paper 1 – June 2022

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GCSE Statistics – Mark scheme (Higher) : Paper 2 – June 2022

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GCSE Statistics – Question paper (Higher) : Paper 2 – June 2022

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GCSE Statistics – Insert (Foundation) : Paper 1 – June 2022

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November 2021

5 files

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GCSE Statistics – Mark scheme (Foundation) : Paper 2 – November 2021

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GCSE Statistics – Question paper (Foundation) : Paper 2 – November 2021

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GCSE Statistics – Mark scheme (Higher) : Paper 1 – November 2021

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GCSE Statistics – Insert (Higher) : Paper 2 – November 2021

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GCSE Statistics – Question paper (Higher) : Paper 1 – November 2021

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November 2020

4 files

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GCSE Statistics – Mark scheme (Foundation) : Paper 2 – November 2020

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GCSE Statistics – Question paper (Foundation) : Paper 2 – November 2020

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GCSE Statistics – Mark scheme (Higher) : Paper 1 – November 2020

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GCSE Statistics – Question paper (Higher) : Paper 1 – November 2020

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October 2020

1 file

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A-Level Statistics – Examiner report – AS Paper 1 – October 2020

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June 2019

1 file

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GCSE Statistics – Question paper (Foundation) : Paper 2 – June 2019

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Statistical Methods, Probability Distributions, and Hypothesis Testing at A-Level

This archive of 63 Pearson Edexcel A-Level Statistics resources covers the statistical methods, probability distributions, and hypothesis testing procedures required for dedicated study of statistics as a standalone subject. The Statistics specification covers a comprehensive range of statistical techniques: data collection and sampling methods, data presentation and summary statistics (measures of central tendency and spread), probability theory (including conditional probability and combinatorics), discrete and continuous probability distributions (binomial, Poisson, normal, chi-squared), statistical inference (confidence intervals, hypothesis testing for means, proportions, and goodness of fit), correlation and regression analysis, and non-parametric tests. Unlike the statistics component within A-Level Mathematics, the standalone Statistics qualification goes into greater depth — covering additional distributions, more sophisticated hypothesis testing procedures, and non-parametric alternatives to standard tests. The papers test both computational ability and the interpretation of statistical results in context. These papers are valuable for students studying any specification that includes statistics — whether standalone Statistics, the statistics component of A-Level Maths, or the statistical methods required in Psychology, Biology, Geography, or other subjects.

Exam Paper Structure

Paper 1Calculator ✓

Statistics 1: Data and Probability

⏱ 2 hours🎯 80 marks📊 33% of grade

Data collection and sampling methodsData presentation and summary statisticsProbability theory and conditional probabilityDiscrete probability distributions (binomial, Poisson)

Paper 2Calculator ✓

Statistics 2: Statistical Inference

⏱ 2 hours🎯 80 marks📊 33% of grade

Continuous probability distributions (normal, chi-squared)Hypothesis testing for means and proportionsConfidence intervals and estimationCorrelation and regression analysis

Paper 3Calculator ✓

Statistics 3: Statistics in Practice

⏱ 2 hours🎯 80 marks📊 33% of grade

Non-parametric testsGoodness of fit testsApplied statistical analysis in contextSynoptic questions across all topics

Key Information

Exam Board	Pearson Edexcel
Specification Code	9ST0
Qualification	A-Level
Grading Scale	A*–E
Assessment Type	3 written papers
Paper 1	2 hr — Statistics 1: Data and Probability (33%)
Paper 2	2 hr — Statistics 2: Statistical Inference (33%)
Paper 3	2 hr — Statistics 3: Statistics in Practice (33%)
Calculator	Scientific or graphical calculator allowed
Available Sessions	June 2018 – June 2024 (plus legacy papers)
Total Resources	63

Key Topics in Statistics

Topics you need to know

Data collection and sampling methodsProbability distributions (binomial, Poisson, normal)Hypothesis testing (z-test, t-test, chi-squared)Confidence intervals and estimationCorrelation and regression analysisNon-parametric testsData presentation and summary statisticsStatistical interpretation in context

Exam Command Words

Command word	What the examiner expects
Calculate	Compute a numerical answer using statistical formulae — show formula, substitution, working, and final answer with appropriate precision
State	Write down a hypothesis, conclusion, or statistical result concisely and precisely — include direction and significance level
Interpret	Explain what a statistical result means in the context of the original data or research question
Justify	Give statistical reasons for choosing a particular test, distribution, or method — reference conditions and assumptions
Comment on	Discuss the implications, limitations, or practical significance of a statistical finding
Test whether	Carry out a complete hypothesis test: state hypotheses, choose test, calculate statistic, compare with critical value, and conclude in context

Typical Grade Boundaries

Grade	Approximate mark needed
A*	73–85%
A	63–72%
B	53–62%
C	43–52%
D	33–42%
E	23–32%

⚠️ Typical boundaries across three papers (240 total marks). Actual boundaries vary by series — check Pearson's website.

Distribution Recognition, Hypothesis Test Selection, and Interpreting Statistical Output

Statistics papers test your ability to select the right technique for a given situation. Build decision trees for hypothesis test selection: is the data paired or unpaired? Is the distribution known? What level of measurement is the data? What is the sample size? Each answer narrows the appropriate test. For calculation questions, show all working — state the null and alternative hypotheses, choose and justify the test, calculate the test statistic, compare with the critical value, and state your conclusion in context. 'Reject H₀ at the 5% significance level' is not a complete answer — state what this means in the context of the original question. For interpretation questions, distinguish between statistical significance and practical importance. A statistically significant result may not be practically meaningful (and vice versa). Discuss effect sizes, confidence intervals, and the limitations of the data when evaluating statistical findings. Probability distribution questions require you to recognise which distribution is appropriate. Know the conditions for binomial (fixed n, independent trials, constant p), Poisson (random events in a fixed interval, constant rate), and normal (continuous data, large samples via CLT). Misidentifying the distribution leads to incorrect calculations regardless of arithmetic accuracy.

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Pearson Edexcel A-Level Statistics Past Papers & Mark Schemes

Download Past Papers

June 2023

June 2022

November 2021

November 2020

October 2020

June 2019

Statistical Methods, Probability Distributions, and Hypothesis Testing at A-Level

Exam Paper Structure

Key Information

Key Topics in Statistics

Exam Command Words

Typical Grade Boundaries

Distribution Recognition, Hypothesis Test Selection, and Interpreting Statistical Output

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