June 2022
Insert (Foundation): Paper 1 June 2022 (172.0 KB)
Insert (Higher): Paper 1 June 2022 (118.4 KB)
Mark scheme (Foundation): Paper 1 June 2022 (451.5 KB)
Mark scheme (Foundation): Paper 2 June 2022 (397.1 KB)
Mark scheme (Higher): Paper 1 June 2022 (663.8 KB)
Mark scheme (Higher): Paper 2 June 2022 (478.3 KB)
Question paper (Higher): Paper 1 June 2022 (952.5 KB)
Question paper (Higher): Paper 2 June 2022 (927.3 KB)
November 2021
Insert (Higher): Paper 2 November 2021 (141.5 KB)
Mark scheme (Higher): Paper 1 November 2021 (309.4 KB)
Mark scheme (Higher): Paper 2 November 2021 (356.4 KB)
November 2020
Mark scheme (Higher): Paper 1 November 2020 (612.0 KB)
Mark scheme (Higher): Paper 2 November 2020 (627.4 KB)
June 2019
Specimen papers and mark schemes
Specimen papers and mark schemes are produced for new exams where there are no past papers.
Data booklet (Higher): Paper 1 Sample set 1 (426.3 KB)
Mark scheme (Higher): Paper 1 Sample set 1 (125.3 KB)
Mark scheme (Higher): Paper 2 Sample set 1 (284.4 KB)
Frequently Asked Questions: GCSE Statistics
- Planning and Collection: Understanding different types of data, sampling methods (e.g., random sampling, stratified sampling), designing questionnaires, pilot studies.
- Processing and Representing: Calculating measures of central tendency (mean, median, mode) and spread (range, interquartile range, standard deviation - sometimes), identifying outliers, creating various graphs and charts (histograms, box plots, scatter graphs).
- Analysis and Interpretation: Interpreting graphs and statistical measures, looking for trends, relationships (correlation), and making inferences.
- Probability: Calculating and understanding probability in various contexts.
- Make sense of data presented in news, reports, and advertising.
- Develop critical thinking skills to question data sources and conclusions.
- Prepare for many subjects at A Level and university that involve data analysis (e.g., Psychology, Sociology, Geography, Business, all sciences).
- Gain skills applicable to a wide range of careers.
- Understand Terminology: Learn the definitions of key statistical terms (sampling frame, pilot study, etc.).
- Practice Data Handling: Work through exercises on calculating averages, spread, and creating different types of graphs.
- Interpret and Explain: Focus on being able to describe what graphs and calculations show in context and justify your conclusions.
- Master the Coursework: If your syllabus includes coursework, understand the requirements thoroughly and work on it diligently. Look at examples to understand structure and expected depth.
- Use Past Papers: Practice questions from previous exams to become familiar with the question style and time constraints.
- Review Regularly: Statistics concepts build upon each other, so regular review is important.