Practical Case Study in Statistics: Analysing a School Fitness Challenge | 统计案例分析实战演练：学校健身挑战赛数据分析

📚 Practical Case Study in Statistics: Analysing a School Fitness Challenge | 统计案例分析实战演练：学校健身挑战赛数据分析

Data is everywhere, and the ability to interpret it is a vital skill. In CCEA Year 10 Statistics, you are often asked to apply the statistical enquiry cycle to real-world problems. This article provides a complete walkthrough of a practical case study: analysing the results of a school fitness challenge. We will cover data collection, sampling, presenting data, calculating averages and spread, exploring relationships, making probability estimates, and drawing conclusions. You will see how each statistical tool helps make sense of raw numbers.

数据无处不在，解读数据的能力是一项重要技能。在 CCEA 十年级统计学中，你经常需要将统计探究周期应用于实际问题。本文提供一个完整的案例分析演练：分析学校健身挑战赛的结果。我们将涵盖数据收集、抽样、数据展示、计算平均数和离散度、探索关系、估计概率并得出结论。你将看到每个统计工具如何帮助理解原始数据。

1. Understanding the Challenge and Data Collection | 理解挑战与数据收集

A secondary school launched a four-week fitness challenge for all Year 10 students to encourage physical activity. Participants recorded their active minutes each week using a school-approved mobile app, which linked data to student IDs. The variables recorded included gender, age (in years and months), and total active minutes over the four weeks. The aim was to analyse participation patterns and to see if activity levels differed by gender or age.

一所中学为所有十年级学生发起了为期四周的健身挑战，以鼓励体育活动。参与者使用学校认可的移动应用记录每周的活动分钟数，该应用将数据与学生ID关联。记录的变量包括性别、年龄（岁和月）以及四周内的总活动分钟数。目的是分析参与模式，并查看活动水平是否因性别或年龄而异。

Before analysis, the data needed to be cleaned. Entries with missing values or unrealistic active minutes (e.g., more than 10,000 minutes) were checked and removed, leaving a reliable dataset. Ethical considerations were followed: all data was anonymised and students had

Published by TutorHao | Year 10 统计 Revision Series | aleveler.com

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