WJECAS/A Level7 resources

WJEC A Level Further Statistics A — Unit Papers & Mark Schemes

Free WJEC A Level Further Statistics A unit papers & mark schemes. Probability distributions, hypothesis testing & regression. 7 resources.

📅Summer series📄7 resources availableFree to download

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AS/A Level Further Maths Further Statistics A: Further Statistics A – Mark Scheme – Summer 2023

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Summer 2022

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AS/A Level Further Maths Further Statistics A: Further Statistics A – Past Paper – Summer 2022

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AS/A Level Further Maths Further Statistics A: Further Statistics A – Mark Scheme – Summer 2022

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Summer 2019

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AS/A Level Further Maths Further Statistics A: Further Statistics A – Past Paper – Summer 2019

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AS/A Level Further Maths Further Statistics A: Further Statistics A – Mark Scheme – Summer 2019

Mark Scheme

AS/A Level Further Maths Further Statistics A: Further Statistics A – Mark Scheme – Summer 2019

Mark Scheme

Summer 2018

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AS/A Level Further Maths Further Statistics A: Further Statistics A – Past Paper – Summer 2018

Past Paper

Distributions, Testing, and Inference: WJEC Further Statistics A

Further Statistics A is the statistical unit within WJEC A Level Further Mathematics. It extends the probability and statistics content from the standard A Level, introducing more sophisticated distributions and inference techniques. The unit covers discrete probability distributions (geometric, negative binomial, Poisson), continuous distributions (exponential, normal), hypothesis testing for means and proportions, chi-squared tests for goodness of fit and association, and linear regression with confidence intervals. Candidates must demonstrate both computational proficiency and the ability to interpret statistical results in context. The 7 resources include question papers and mark schemes for this unit.

Exam Paper Structure

Further Statistics ACalculator ✓

Further Statistics A

1 hour 30 minutes🎯 Varies marks📊 Varies% of grade
Discrete distributions: geometric, negative binomial, PoissonContinuous distributions: exponential, normalHypothesis testing for means and proportionsChi-squared testsLinear regression and confidence intervals

Key Information

Exam BoardWJEC
Specification CodeWJEC Further Mathematics – Further Statistics A
QualificationAS/A Level (Further Maths unit)
Grading ScaleContributes to A*–E (A Level Further Mathematics)
Assessment TypeWritten examination
TiersNo tiers
Number Of Papers1 unit paper
Exam Duration1 hour 30 minutes
Total MarksVaries
Calculator StatusCalculator allowed
Available SessionsSummer series
Total Resources7

Key Topics in Further Statistics A

Topics you need to know

Poisson, geometric, and negative binomial distributionsExponential distribution and memoryless propertyHypothesis testing: one-sample and two-sampleChi-squared goodness-of-fit and association testsLinear regression and correlationConfidence intervals for parametersCentral limit theorem applicationsInterpreting statistical conclusions in context

Exam Command Words

Command wordWhat the examiner expects
CalculateCompute a value showing all working
TestCarry out a formal hypothesis test
StateWrite down clearly and concisely
InterpretExplain the meaning of a result in the given context

Typical Grade Boundaries

GradeApproximate mark needed
A*81–90%
A71–80%
B61–70%
C51–60%
D41–50%
E31–40%

⚠️ This unit contributes to the overall Further Mathematics grade.

Distribution Recognition and Contextual Interpretation for Further Statistics A

Recognising which probability distribution to apply is the essential first step in most questions. The Poisson distribution models events occurring independently at a constant average rate; the geometric distribution models the number of trials until the first success; the exponential distribution is the continuous analogue of the Poisson for waiting times. Practise identifying the distribution from the problem context before computing probabilities. Hypothesis testing questions demand a structured approach: state the null and alternative hypotheses, identify the test statistic and its distribution under H₀, calculate the test statistic from the data, compare with the critical value or compute the p-value, and state your conclusion in context. Marks are awarded for each step, so omitting the formal statement of hypotheses or the contextual conclusion costs marks unnecessarily. Chi-squared test questions require you to calculate expected frequencies, combine cells where expected frequencies fall below 5, compute the test statistic, and determine degrees of freedom correctly. Practise computing degrees of freedom for goodness-of-fit tests (categories minus 1 minus estimated parameters) and contingency tables ((rows – 1)(columns – 1)).

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