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📊 A-Level Statistics
Edexcel 1ST0 & AQA 8382
Complete revision notes for A-Level Statistics covering 26 topics across 6 strands. Aligned with the Edexcel 1ST0 & AQA 8382 specifications. Covers planning enquiries, data collection, presentation, calculation, interpretation, probability and exam technique.
📊 Course Overview
A-Level Statistics develops students' ability to collect, analyse, interpret and evaluate statistical information. Edexcel 1ST0 and AQA 8382 both have two written papers, each 1 hour 45 minutes and worth 50%. Both papers assess the Statistical Enquiry Cycle (SEC) alongside statistical techniques, interpretation and evaluation. The content covers planning enquiries, data collection, presentation, calculation, interpretation and probability.
Paper
Content
Weighting
Duration
Paper 1 (Edexcel)
Written Exam
50%
1hr 45min
Paper 2 (Edexcel)
Written Exam
50%
1hr 45min
Paper 1 (AQA)
Written Exam
50%
1hr 45min
🎯 Assessment Objectives
AO
Description
Weighting
AO1
Demonstrate knowledge and understanding of statistical techniques for collecting, representing and analysing data
55%
AO2
Interpret statistical information and results in context, reasoning statistically to draw conclusions
25%
AO3
Assess the appropriateness of statistical methodologies and conclusions through the statistical enquiry cycle
20%
📋 Board Coverage
All 26 topics are aligned with the Edexcel 1ST0 and AQA 8382 specifications. Both boards follow the same DfE subject content covering planning, collection, presentation, calculation, interpretation and the Statistical Enquiry Cycle. Each topic page provides calculation practice aligned with AO1, interpretation practice aligned with AO2 and evaluation practice aligned with AO3.
🔑 Key Topics
Planning a Statistical Enquiry: Hypotheses, investigation design, constraints and the statistical enquiry cycle
Data Collection: Data types, primary and secondary data, sampling, questionnaires and data cleaning
Data Presentation & Visualisation: Tables, charts, graphs, histograms, box plots and identifying misrepresentation
Statistical Calculation & Analysis: Averages, spread, skewness, correlation, regression and time series analysis
Statistical Interpretation & Evaluation: Probability, distributions, index numbers, population estimation and comparing data