OCR As Further Mathematics A Statistics Paper 1 2025 Qp

Get the official OCR AS Level Further Mathematics A Y532/01 Statistics question paper from the June 2025 exam series. This examiner-authentic PDF contains the complete set of OCR assessment questions covering probability distributions, Poisson modelling, correlation, regression, hypothesis testing and variance optimisation exactly as candidates received them in the live examination.

This OCR Y532/01 June 2025 question paper includes questions on chi-squared goodness-of-fit testing for biased dice, Poisson modelling of helicopter sightings, Spearman’s rank correlation coefficient, least-squares regression lines and probability distributions involving variance minimisation. The paper also explores advanced AS Further Mathematics statistics topics including geometric distributions, expected values, variance derivation, conditional modelling and detailed reasoning involving repeated Bernoulli trials. Students must apply rigorous statistical reasoning to hypothesis testing, model validity, reliability of regression estimates and optimisation of discrete random variables under timed conditions. Designed to test analytical interpretation, probability modelling and statistical communication under authentic exam conditions, this paper is ideal for OCR AS Further Mathematics revision and exam preparation. Pair it with the matching OCR Y532/01 June 2025 mark scheme on markscheme.net for complete examiner-standard revision and worked-solution practice. Updated for the 2025/2026 academic year, mobile-friendly and instantly downloadable from markscheme.net.

This document is designed for OCR AS Level Further Mathematics students preparing for the 2026 examination series, including independent learners, resit candidates and high-achieving mathematics students seeking authentic OCR exam practice in Further Statistics.

Teachers, tutors, sixth-form mathematics departments and revision-course providers can use this OCR Y532/01 paper for timed mock examinations, hypothesis-testing workshops, Poisson-modelling lessons, regression-analysis seminars and probability-distribution problem-solving activities. It is especially valuable for students aiming to strengthen statistical interpretation, algebraic reasoning and multistep analytical problem-solving under real exam conditions.