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OCR Core Maths B (MEI) Level 3 Certificate Past Papers

Free OCR Core Maths B (MEI) Level 3 Certificate past papers. Introduction to Quantitative Reasoning and Statistical Problem Solving. Large data set. 65 resources.

πŸ“…Summer seriesπŸ“„56 resources availableβœ…Free to download

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June 2023

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Core Maths B (MEI) Level 3 Certificate – Question paper – Statistical problem solving

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Core Maths B (MEI) Level 3 Certificate – Question paper – Statistical problem solving insert

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Core Maths B (MEI) Level 3 Certificate – Examiners’ report – Statistical problem solving

Examiner Report
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Core Maths B (MEI) Level 3 Certificate – Question paper – Introduction to quantitative reasoning

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June 2022

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Core Maths B (MEI) Level 3 Certificate – Question paper – Statistical problem solving

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Core Maths B (MEI) Level 3 Certificate – Question paper – Statistical problem solving insert

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Core Maths B (MEI) Level 3 Certificate – Examiners’ report – Statistical problem solving

Examiner Report
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Core Maths B (MEI) Level 3 Certificate – Question paper – Introduction to quantitative reasoning

Question Paper
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Core Maths B (MEI) Level 3 Certificate – Examiners’ report – Introduction to quantitative reasoning

Examiner Report

November 2021

3 files
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Core Maths B (MEI) Level 3 Certificate – Question paper – Statistical problem solving insert

Question Paper
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Core Maths B (MEI) Level 3 Certificate – Question paper – Introduction to quantitative reasoning

Question Paper
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Core Maths B (MEI) Level 3 Certificate – Question paper – Statistical problem solving

Question Paper

November 2020

3 files
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Core Maths B (MEI) Level 3 Certificate – Question paper – Statistical problem solving insert

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Core Maths B (MEI) Level 3 Certificate – Question paper – Statistical problem solving

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Core Maths B (MEI) Level 3 Certificate – Mark scheme – Statistical problem solving

Mark Scheme

June 2019

2 files
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Core Maths B (MEI) Level 3 Certificate – Question paper – Statistical problem solving insert

Question Paper
πŸ“Š

Core Maths B (MEI) Level 3 Certificate – Examiners’ report – Introduction to quantitative reasoning

Examiner Report

June 2018

2 files
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Core Maths B (MEI) Level 3 Certificate – Question paper – Statistical problem solving insert

Question Paper
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Core Maths B (MEI) Level 3 Certificate – Mark scheme – Statistical Problem Solving

Mark Scheme

June 2017

3 files
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Core Maths B (MEI) Level 3 Certificate – Question paper – Statistical problem solving insert

Question Paper
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Core Maths B (MEI) Level 3 Certificate – Mark scheme – Statistical problem solving

Mark Scheme
πŸ“„

Core Maths B (MEI) Level 3 Certificate – Question paper – Introduction to quantitative reasoning insert

Question Paper

June 2016

2 files
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Core Maths B (MEI) Level 3 Certificate – Question paper – Statistical problem solving insert

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Core Maths B (MEI) Level 3 Certificate – Mark scheme – Statistical problem solving

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Core Maths B (MEI) Level 3 Certificate – Statistical problem solving

Sample Assessment Materials

Statistical Problem Solving in Context: OCR Core Maths B (MEI) Level 3 Certificate

Core Maths B (MEI) Level 3 Certificate is OCR's statistics-focused route through Level 3 mathematical studies, developed by Mathematics in Education and Industry (MEI). Like its companion qualification Core Maths A, it is designed for students who completed GCSE Maths at Grade 4 or above and need to maintain and deepen their quantitative skills for subjects like Science, Geography, Psychology, or Sociology β€” without committing to full AS or A Level Maths. The B route replaces the Critical Maths component (found in Core Maths A) with Statistical Problem Solving β€” a substantial data-driven component that uses a large data set (LDS) released in advance. The LDS is a real-world dataset (typically containing demographic, environmental, or health data) that students work with throughout the course and bring annotated into the Statistical Problem Solving examination. Questions ask students to clean data, identify trends, test hypotheses using appropriate statistical tests, and communicate findings clearly. Component 1 β€” Introduction to Quantitative Reasoning β€” is identical to that in Core Maths A: it uses pre-release materials and tests proportional reasoning, estimation, financial mathematics, and statistical interpretation. Component 2 β€” Statistical Problem Solving β€” requires students to select and apply appropriate statistical measures (mean, median, standard deviation, correlation), construct and interpret statistical diagrams, perform hypothesis tests, and evaluate the reliability of findings. The large data set is a distinctive feature: students are expected to know its structure intimately and be able to apply statistical thinking to its contents spontaneously in the examination.

Exam Paper Structure

Component 1Calculator βœ“

Introduction to Quantitative Reasoning

⏱ 2 hours🎯 Varies marksπŸ“Š 50%% of grade
Pre-release data interpretationProportional reasoning and percentagesFinancial mathematicsEstimation and Fermi problemsRisk and probability
Component 2Calculator βœ“

Statistical Problem Solving

⏱ 2 hours🎯 Varies marksπŸ“Š 50%% of grade
Large data set analysis and interpretationStatistical measures: mean, median, standard deviationHypothesis testing: null hypothesis, p-values, significance levelsCorrelation: Spearman's rank, Pearson's product-momentStatistical diagrams: histograms, box plots, scatter diagrams

Key Information

Exam BoardOCR
Specification CodeH069 (Core Maths B MEI) / Level 3 Mathematical Studies
QualificationLevel 3 Certificate
Grading ScaleA–E
Assessment Type2 written papers: Component 1 (IQR with pre-release) + Component 2 (Statistical Problem Solving with LDS)
TiersNo tiers
Number Of Papers2
Exam DurationComponent 1: 2 hours; Component 2: 2 hours
Total MarksVaries by series
Calculator StatusCalculator allowed throughout
Available SessionsSummer series
Total Resources65

Key Topics in Core Maths B (MEI) Level 3 Certificate

Topics you need to know

Large data set analysis: structure, variables, and statistical featuresStatistical hypothesis testing: null/alternative hypotheses, significance levelsCorrelation analysis: Spearman's rank, Pearson's PMCCData presentation: histograms, cumulative frequency, box plotsMeasures of central tendency and spread: mean, median, IQR, standard deviationSampling methods: random, systematic, stratified, convenienceProbability: independent and conditional probabilityStatistical literacy: interpreting pre-release data and evaluating statistical claims

Exam Command Words

Command wordWhat the examiner expects
TestPerform a statistical hypothesis test, stating hypotheses, calculating the test statistic, and drawing a conclusion in context
CalculateWork out a statistical value (mean, standard deviation, correlation), showing all working
InterpretExplain what a statistical result, diagram, or value means in the real-world context
EvaluateAssess the reliability, validity, or appropriateness of a statistical method or conclusion
DescribeGive a detailed account of a statistical pattern, trend, or distribution
JustifyGive statistical reasoning to support a choice of test, diagram type, or conclusion

Typical Grade Boundaries

GradeApproximate mark needed
A65–75%
B55–64%
C45–54%
D35–44%
E25–34%

⚠️ Core Maths B (MEI) is graded A–E. Typical boundaries across both components.

Mastering the Large Data Set and Statistical Hypothesis Testing

The large data set (LDS) for Core Maths B is the most distinctive element of this qualification. You are permitted to bring a clean printed copy of the LDS (no annotations allowed in the exam β€” check current OCR guidance carefully) into the Statistical Problem Solving examination. Knowing the dataset intimately β€” its structure, what variables it contains, what the data represents, and any notable features or anomalies β€” will significantly advantage you over students who merely know statistics in the abstract. Hypothesis testing in the Statistical Problem Solving component requires a clear structure. When answering a hypothesis test question: (1) state the null and alternative hypotheses explicitly using correct notation; (2) identify the appropriate test and justify its use; (3) calculate the test statistic and find the critical value or p-value; (4) state a clear conclusion in context β€” not 'we reject Hβ‚€' but 'there is sufficient evidence at the 5% significance level to conclude that [specific conclusion about the context]'. The contextual conclusion is where many students lose marks. For data presentation questions, match the chart type to the data type: histograms for continuous frequency data with unequal class widths, cumulative frequency for median and interquartile range estimation, scatter diagrams for correlation. Know how to calculate Spearman's rank correlation coefficient from scratch and interpret its value in context. Standard deviation calculations (not just recall of the formula) appear in many papers β€” know both the definitional and computational forms.

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