Year 9 Cambridge Statistics: Case Study in Action | 剑桥九年级统计：案例分析实战演练

📚 Year 9 Cambridge Statistics: Case Study in Action | 剑桥九年级统计：案例分析实战演练

In this case study, we will walk through a complete statistical investigation from planning to conclusion, using real-world style data about Year 9 students’ weekly reading habits. This practical exercise is designed to consolidate key concepts in the Cambridge Year 9 Statistics syllabus, including data collection, frequency tables, charts, averages, spread, box plots, scatter graphs, and basic probability.

在本案例分析中，我们将完整走一遍从计划到结论的统计调研过程，使用关于九年级学生每周阅读习惯的真实风格数据。此实践练习旨在巩固剑桥九年级统计大纲中的关键概念，包括数据收集、频数表、图表、平均数、离散程度、箱线图、散点图和基础概率。

1. Defining the Problem and Planning | 明确问题与制定计划

A statistical investigation always begins with a clear question. Our investigation aims to answer: ‘How many hours per week do Year 9 students spend reading for pleasure?’ We also want to explore whether reading time is linked to their latest English test scores. Planning involves deciding the target population (a class of 30 students), variables (reading hours, test scores), and methods of data collection.

统计调研总是从一个明确的问题开始。我们的调研试图回答：“九年级学生每周花多少小时进行课外兴趣阅读？”我们还想探究阅读时间是否与他们最近的英语测试成绩有关联。计划阶段包括确定目标总体（一个30名学生的班级）、变量（阅读小时数、测试成绩）以及数据收集方法。

2. Data Collection Methods | 数据收集方法

We use a short questionnaire where each student reports the number of hours they read for pleasure in a typical week. Additionally, we record their most recent English test score out of 50. This is a sample of convenience, and we must consider possible bias – students might overestimate their reading time. To reduce this, we ensure anonymity and phrase the question neutrally.

我们使用一份简短问卷，让每位学生报告他们在典型一周内进行兴趣阅读的小时数。此外，我们记录他们最近一次满分50分的英语测试成绩。这是一个便利样本，我们必须考虑可能的偏差——学生可能高估自己的阅读时间。为了减少偏差，我们确保匿名并以中性措辞提问。

3. Organising Data: Frequency Tables | 整理数据：频数表

Raw data collected from 30 students (reading hours): 3, 5, 2, 7, 0, 1, 4, 6, 8, 2, 3,

Published by TutorHao | Year 9 统计 Revision Series | aleveler.com

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