Pearson EdexcelGCSE130 resourcesFoundation & Higher

Pearson Edexcel GCSE Statistics Past Papers & Mark Schemes

Download free Pearson Edexcel GCSE Statistics past papers, mark schemes & examiner reports. Data collection, representation, analysis & probability. 116 resources.

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130 of 130 resources — page 1 of 6

June 2023

3 files

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

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

Question Paper

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

Mark Scheme

June 2022

4 files

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

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

Question Paper

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

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

Question Paper

November 2021

3 files

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

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

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

Insert

November 2020

2 files

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

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

Question Paper

June 2019

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

Question Paper
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A-Level Statistics – Examiner report – Paper 2 – June 2019

Examiner Report

June 2015

3 files

GCSE Statistics – Mark scheme – Paper 1H – June 2015

Mark Scheme

GCSE Statistics – Mark scheme – Paper 1F – June 2015

Mark Scheme
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GCSE Statistics – Question paper – Paper 1F – June 2015

Question Paper

June 2014

5 files
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GCSE Statistics – Examiner report – Paper 2 – June 2014

Examiner Report

GCSE Statistics – Mark scheme – Paper 1F – June 2014

Mark Scheme

GCSE Statistics – Mark scheme – Paper 1H – June 2014

Mark Scheme
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GCSE Statistics – Question paper – Paper 1H – June 2014

Question Paper
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GCSE Statistics – Question paper – Paper 1F – June 2014

Question Paper

June 2012

1 file

GCSE Statistics – Mark scheme – Paper 1H – June 2012

Mark Scheme

June 2011

2 files
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GCSE Statistics – Examiner report – Paper 1F – June 2011

Examiner Report
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GCSE Statistics – Question paper – Paper 1H – June 2011

Question Paper

Edexcel GCSE Statistics: Rigorous Data Analysis as a Standalone Mathematical Qualification

Pearson Edexcel GCSE Statistics (specification code 1ST0) is an additional mathematics qualification that develops rigorous skills in the collection, representation, analysis, and interpretation of statistical data. With 116 resources spanning the current 9-1 specification and legacy papers, this archive provides comprehensive practice for statistical reasoning and mathematical problem solving. For the current specification, GCSE Statistics is assessed through two written papers. Paper 1 lasts 1 hour 30 minutes at both Foundation (80 marks) and Higher (80 marks) tiers, and Paper 2 lasts 1 hour 30 minutes at both tiers (80 marks each). Calculators are permitted in both papers. Both papers assess the full range of statistical content — data collection methods, tables and charts, measures of central tendency and spread, probability, correlation, and hypothesis testing. The specification covers four main content areas: designing a statistical enquiry (including sampling techniques, data collection methods, and questionnaire design), representing and analysing data (including frequency tables, histograms, box plots, scatter diagrams, and time series graphs), probability and inference (including relative frequency, expected values, and testing statistical hypotheses), and statistical problem solving (applying statistics to real-world contexts). GCSE Statistics is typically taken alongside GCSE Mathematics and is particularly suited to students who intend to study A-level Mathematics, Data Science, Economics, Psychology, or any subject with a significant quantitative component. The skills developed — careful data handling, drawing valid conclusions from data, and recognising the limitations of statistical methods — are directly transferable to all of these fields. The legacy papers (Unit 1 Foundation/Higher and Unit 2) used a unitised structure with similar statistical content, and remain excellent practice for all current specification topic areas.

Exam Paper Structure

Paper 1No calculator

Non-calculator

1 hour 30 minutes🎯 80 marks📊 50% of grade
Data collection and samplingRepresenting dataProbabilityCorrelation and regression
Paper 2Calculator ✓

Calculator

1 hour 30 minutes🎯 80 marks📊 50% of grade
Measures of central tendency and spreadTime series and index numbersProbability distributionsStatistical inference concepts

Key Information

Exam BoardPearson Edexcel
Specification Code1ST0
QualificationGCSE
Grading Scale9-1
Assessment Type2 written papers — calculator permitted in both
TiersFoundation (grades 1-5) and Higher (grades 4-9)
Paper 11 hr 30 min — Foundation (80 marks) or Higher (80 marks)
Paper 21 hr 30 min — Foundation (80 marks) or Higher (80 marks)
CalculatorsPermitted in both papers
Total Resources116

Key Topics in Statistics

Topics you need to know

Data collection methods and samplingRepresenting data — charts, diagrams and tablesMeasures of central tendency and spreadCorrelation and regressionProbability and probability distributionsStatistical inference and hypothesis testing

Exam Command Words

Command wordWhat the examiner expects
CalculateWork out the numerical answer, showing all working
DescribeComment on the pattern, distribution or relationship shown in the data
CompareIdentify similarities and differences between two data sets or distributions
InterpretExplain what a statistical result or diagram means in context
CommentMake an observation about a statistical feature and what it tells you
SuggestGive a possible reason or further investigation based on the data

Typical Grade Boundaries

GradeApproximate mark needed
Grade 976–86%
Grade 864–75%
Grade 752–63%
Grade 643–51%
Grade 535–42%
Grade 426–34%

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

Data, Distributions, and Decisions: Getting Full Marks in Edexcel GCSE Statistics

GCSE Statistics rewards systematic approach to data problems — always read question context carefully before attempting calculations. Questions often present a scenario (a school survey, a medical trial, a business analysis) and ask multiple questions about it. Understanding the context helps you check whether your answers make sense — a negative probability or a mean outside the data range signals an error. For data representation questions, practise drawing and interpreting all chart types required by the specification: histograms with unequal class widths (frequency density = frequency ÷ class width), cumulative frequency curves (S-curves), box plots (median, quartiles, IQR, outliers), scatter diagrams with lines of best fit, and time series graphs with moving averages. Errors in constructing histograms are among the most common mistakes identified in examiner reports. For measures of spread, ensure you can calculate interquartile range, standard deviation (from grouped or ungrouped data), and variance. Higher tier papers require comparison of data sets using both measures of central tendency and measures of spread — practise writing comparative conclusions that reference both the centre and the spread of distributions. For probability questions, draw tree diagrams and Venn diagrams systematically. Even simple probability questions benefit from a clear diagram to avoid errors with conditional probability and combined events. Practise distinguishing between independent and dependent events and applying the appropriate probability rules. For hypothesis testing questions (Higher tier), follow the structured approach: state the null hypothesis, collect and calculate sample statistics, compare to a critical value or use a significance level, and reach a conclusion in context. The mark scheme awards marks for each step of this process independently.

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