Pearson Edexcel A Level Further Mathematics Paper 4b 2025 Qp

Get the official Pearson Edexcel A-Level Further Mathematics Paper 4B: Further Statistics 2 question paper from the June 2025 examination series (9FM0/4B). This examiner-issued PDF contains the complete original Summer 2025 exam paper covering regression analysis, residuals, Spearman’s rank correlation, hypothesis testing, variance tests, confidence intervals, continuous distributions, probability density functions, expected values, paired and two-sample t-tests, and statistical modelling.

This paper assesses advanced Further Statistics 2 techniques including regression diagnostics, non-parametric correlation, chi-squared variance testing, confidence intervals for means and variances, uniform distributions, cumulative distribution functions, expectation via algebraic integration and comparative hypothesis testing. Pair it with the matching Edexcel 9FM0/4B June 2025 mark scheme on markscheme.net for complete examiner-standard revision and self-assessment. Updated for the 2025/2026 academic year, optimised for mobile and desktop, and instantly downloadable from markscheme.net — your fastest route to top-grade Further Mathematics revision.

This document is designed for Year 13 students preparing for the 2026 Pearson Edexcel A-Level Further Mathematics examinations, including retake candidates aiming for A/A* grades, private candidates, international learners and home-schooled students specialising in Further Statistics. It is especially valuable for students applying for statistics, actuarial science, economics, mathematics, data science and quantitative-finance degree courses where statistical reasoning and hypothesis testing are heavily assessed.

Teachers, tutors, sixth-form colleges and revision providers can use this paper for timed mock examinations, statistical-method walkthroughs, hypothesis-testing workshops and advanced exam-technique sessions. It is also ideal for identifying weaknesses in regression analysis, probability distributions and statistical inference before the 2026 examination series.