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Statistics
A-Level Statistics is a quantitative, applied qualification set against the Pearson Edexcel 9ST0 specification — the only current GCE A-Level dedicated to Statistics, and broader and deeper than the statistics strand embedded within A-Level Mathematics. It moves from data collection, sampling and the presentation of univariate and bivariate data, through probability and named discrete and continuous distributions (binomial, Poisson, exponential and normal), to estimation and a full toolkit of inference — parametric and non-parametric hypothesis tests, confidence intervals, contingency-table and goodness-of-fit chi-squared tests, and analysis of variance — all framed by the statistical enquiry cycle and the honest interpretation of results in real contexts.
0/89 Texts18 Chapters~207 min total
Pearson Edexcel 9ST0, Topic 3 (Paper 1)Pearson Edexcel 9ST0, Topic 1 (Paper 1)Pearson Edexcel 9ST0, Topic 2 (Paper 1)Pearson Edexcel 9ST0, Topic 8 (Paper 1)Pearson Edexcel 9ST0, Topic 4 (Paper 1)Pearson Edexcel 9ST0, Topic 5 (Paper 1)+12 moreFoundationStandardAdvanced
Table of contents · 18 ChaptersT·18
- The Poisson model and its conditionsText L·302 min
- Calculating Poisson probabilities, mean and varianceText L·312 min
- Sums of Poisson variables and the Poisson approximation to the binomialText L·322 min
- The exponential distribution for waiting timesText L·332 min
- The memoryless property and the Poisson-exponential linkText L·343 min
- Population and samples
- Numerical measures, graphs and diagrams
- Probability
- Bayes' theorem
- Introduction to probability distributions
- Binomial distribution
- Exponential and Poisson distributions
- Normal distribution
- Probability distributions
- Correlation and linear regression
- Introduction to hypothesis testing
- Sampling, estimates and resampling
- Hypothesis testing, confidence intervals and power
- Contingency tables
- Goodness of fit
- One and two sample non-parametric tests
- Analysis of variance
- Experimental design
- Paper 1 — Data and Probability (Pearson Edexcel 9ST0/01)
- Written examination of 2 hours, 80 marks, one third of the A-Level. Assesses the foundational content: numerical measures and statistical diagrams, probability and Bayes' theorem, populations and samples, and the introduction of probability distributions including the binomial and the normal, together with correlation and linear regression. A calculator is permitted throughout and the Pearson formulae booklet and statistical tables are provided.
- Paper 2 — Statistical Inference (Pearson Edexcel 9ST0/02)
- Written examination of 2 hours, 80 marks, one third of the A-Level. Assesses further probability distributions (including the Poisson and exponential models), the logic of hypothesis testing, sampling distributions and estimation, and the main body of parametric inference: one-, two- and paired-sample tests, confidence intervals and the power of a test. Emphasis falls on choosing and justifying the correct procedure and stating conclusions in context.
- Paper 3 — Statistics in Practice (Pearson Edexcel 9ST0/03)
- Written examination of 2 hours, 80 marks, one third of the A-Level. A synoptic, applied paper assessing contingency tables, goodness-of-fit and non-parametric tests, analysis of variance and experimental design, set within the statistical enquiry cycle. It draws on a pre-released large data set and rewards the appropriate use of technology (calculators, spreadsheets and statistical software) and clear statistical communication.
- Assessment objectives, technology and grading
- Across the three papers the assessment objectives are weighted approximately AO1 (select and use standard statistical techniques) 50%, AO2 (reason, interpret and communicate statistically) 25%, and AO3 (solve problems and model in real contexts, including the statistical enquiry cycle and the large data set) 25%. The qualification is linear and assumes routine use of technology; a formulae booklet with statistical tables is provided in every paper. The full A-Level is graded A*-E, with U below E.