Cross-Curricular Integrated Practice for IGCSE WJEC Statistics | IGCSE WJEC 统计：跨学科综合题型训练

📚 Cross-Curricular Integrated Practice for IGCSE WJEC Statistics | IGCSE WJEC 统计：跨学科综合题型训练

In WJEC IGCSE Statistics, marks are awarded not only for accurate calculations but also for interpreting results in the original context. Cross-curricular questions often place statistical techniques inside biology, geography, business, physics, economics and social science settings. A strong candidate can move between raw data, statistical method and real-world conclusion.

在 WJEC IGCSE 统计考试中，得分不仅取决于准确计算，还取决于能否在原情境中解释结果。跨学科题目常把统计方法嵌入生物、地理、商业、物理、经济与社会科学背景。优秀考生能够在原始数据、统计方法与现实结论之间灵活转换。

• Collecting data: sampling, questionnaires, experiments | 收集数据：抽样、问卷、实验
• Presenting data: charts, tables, box plots, histograms | 展示数据：图表、表格、箱线图、直方图
• Summarising data: mean, median, mode, range, IQR, standard deviation | 概括数据：均值、中位数、众数、极差、四分位距、标准差
• Analysing relationships: correlation, regression, time series, index numbers | 分析关系：相关、回归、时间序列、指数

1. Understanding WJEC Statistics in Context | 理解 WJEC 统计的实际情境

WJEC IGCSE Statistics questions frequently use data from other subjects. You may be given a biology field study, a geography population table, a business sales series or a physics experiment. The statistical method is only the starting point; you must also justify choices and evaluate limitations.

WJEC IGCSE 统计题频繁使用其他学科的数据。你可能遇到生物实地研究、地理人口表、商业销售序列或物理实验。统计方法只是起点；你还必须说明选择理由并评价局限性。

When a question says ‘suggest’ or ‘evaluate’, you should link your answer back to the context. For example, a sample of leaves from one tree cannot represent all trees in a woodland. The same idea applies to human studies, where a small or biased sample weakens the conclusion.

当题目出现“建议”或“评价”时，你应当把答案回扣到情境中。例如，一棵树的叶片样本不能代表整片林地。同样的道理适用于人类研究，小样本或偏差样本会削弱结论。

2. Biology: Sampling and Variation | 生物：抽样与变异

A biologist cannot measure every leaf in

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