📚 Year 12 WJEC Statistics: Winter Break Intensive Revision Plan | Year 12 WJEC 统计：寒假强化复习计划
The winter break is a golden opportunity to consolidate your knowledge of AS Statistics and enter the new term with confidence. A well-structured, intensive revision plan that covers all the key topics in the WJEC specification can transform weeks of disjointed study into a coherent exam-ready skill set. This article presents a 12-day roadmap, balancing conceptual review, worked examples and past-paper practice to ensure you master data presentation, probability, distributions, correlation and sampling.
寒假是巩固 AS 统计知识、自信迎接新学期的黄金时期。一份结构清晰、覆盖 WJEC 考纲所有重点的强化复习计划，能把零散的复习整合为应试技能。本文提供一个 12 天复习路线图，兼顾概念回顾、典型例题与真题演练，确保你熟练掌握数据表示、概率、分布、相关与抽样等内容。
1. Familiarising Yourself with the WJEC Specification | 熟悉 WJEC 考试大纲
Start by downloading the official WJEC AS Statistics specification from the board's website. Identify exactly which topics are assessed and how they are weighted across the two papers. Pay special attention to the assessment objectives: AO1 (recall and use of knowledge), AO2 (application and analysis) and AO3 (interpretation and evaluation).
首先从考试局官网下载 WJEC AS 级统计官方大纲，明确考试涵盖的主题以及在两份试卷中的权重。特别关注评估目标：AO1（知识的回忆与运用）、AO2（应用与分析）和 AO3（解释与评价）。
Create a checklist of the core themes: data presentation and summary statistics, measures of central tendency and dispersion, probability (including conditional probability and tree diagrams), discrete random variables, the binomial and Poisson distributions, the normal distribution, correlation and regression, and sampling methods. Tick off each area as you build confidence during the break.
制作核心主题清单：数据表示与汇总统计、集中趋势与离散程度的测量、概率（含条件概率和树形图）、离散随机变量、二项分布与泊松分布、正态分布、相关与回归以及抽样方法。寒假中每掌握一个领域就勾掉一项。
2. Two-Week Intensive Revision Timetable | 两周强化复习时间表
Below is a suggested 10-day core plan spread over two working weeks, with two extra days reserved for full past-paper practice and self-assessment. Each day targets one topic area to build deep understanding before moving on.
下方是一个为期 10 天的核心计划，分布在两周内，并额外安排两天进行完整的真题训练和自我评估。每天聚焦一个主题领域，逐步建立深层理解。
| Day | Topic / 主题 | Key Focus / 关键重点 |
|---|---|---|
| 1 | Data Presentation & Summary Statistics / 数据表示与汇总统计 | Histograms, cumulative frequency, box plots, outliers |
| 2 | Central Tendency & Dispersion / 集中趋势与离散程度 | Mean, median, variance, standard deviation, IQR |
| 3 | Probability & Conditional Probability / 概率与条件概率 | Venn diagrams, tree diagrams, P(A|B) |
| 4 | Discrete Random Variables / 离散随机变量 | Probability mass function, E(X), Var(X) |
| 5 | Binomial Distribution / 二项分布 | B(n, p) conditions, formula, tables, mean & variance |
| 6 | Poisson Distribution / 泊松分布 | Po(λ) conditions, formula, Poisson tables |
| 7 | Normal Distribution / 正态分布 | Standardising Z = (X - μ)/σ, using tables, inverse normal |
| 8 | Correlation & Regression / 相关与回归 | PMCC, Spearman's rank, least squares regression line |
| 9 | Sampling & Data Collection / 抽样与数据收集 | Random, stratified, systematic, quota sampling |
| 10 | Past-Paper Practice / 真题演练 | Full WJEC papers, timed conditions, mark schemes |
| 11-12 | Self-Assessment & Targeted
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