Pearson Edexcel GCSE Statistics Paper 1h 2025 Mark Scheme

Get the official Pearson Edexcel GCSE (9–1) Statistics Paper 1 Higher Tier mark scheme from the Summer 2025 examination series (1ST0/1H). This examiner-approved PDF contains the complete Higher Tier statistics mark scheme, accepted answers, worked solutions, examiner guidance, method marks, follow-through marking rules, and official assessment criteria used to award marks in the June 2025 GCSE Statistics examination.

Use this mark scheme to understand the exact examiner expectations for Higher Tier GCSE Statistics questions covering Spearman’s rank correlation, probability trees, histograms, time series analysis, moving averages, capture-recapture estimation, standardised scores, skewness, questionnaires, matched pairs investigations, and statistical interpretation. The detailed examiner commentary, method-mark structure, and follow-through guidance are especially valuable for improving exam technique, mathematical reasoning, and problem-solving accuracy before the 2026 GCSE exams. Pair it with the matching Edexcel 1ST0/1H June 2025 question paper on markscheme.net for full 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 GCSE Statistics revision.

This document is designed for Pearson Edexcel GCSE Statistics Higher Tier students preparing for the 2026 examination series, including candidates targeting grades 4–9, retake students improving advanced statistical reasoning, and home-schooled learners following the GCSE (9–1) Statistics specification. It is especially valuable for students comparing their answers against official examiner-approved methods, statistical reasoning expectations, and mark allocations.

It is also ideal for teachers, tutors, intervention coordinators, revision-course providers, and parents supporting GCSE Statistics revision at home. Use it for examiner-style marking practice, classroom feedback sessions, mock-paper assessment, independent revision, advanced statistical-analysis workshops, and identifying common Higher Tier Statistics mistakes before the Summer 2026 examinations.