GCSE Eduqas Statistics: Case Study Practice | GCSE Eduqas 统计:案例分析实战演练

📚 GCSE Eduqas Statistics: Case Study Practice | GCSE Eduqas 统计:案例分析实战演练

Mastering GCSE Eduqas Statistics requires more than knowing formulas—it demands the ability to apply statistical thinking to real-world scenarios. This case study walkthrough takes you through a typical exam-style investigation, from understanding the problem to interpreting results. By following each step, you will learn how to analyse data, calculate key statistics, construct diagrams, and evaluate your findings, all within the context of a themed business problem.

掌握GCSE Eduqas统计不仅需要熟记公式,更需要将统计思维运用于现实情境的能力。这篇案例分析实战演练将带你走过一个典型的考试型调查,从理解问题到解释结果。通过一步步跟随,你将学会如何在主题化商业问题的背景下分析数据、计算关键统计量、绘制图表并评估你的发现。


1. Understanding the Scenario | 理解案例情景

The case study involves ‘Sunny Scoops’, a local ice cream shop that wants to investigate the relationship between the daily maximum temperature and its ice cream sales. The owner has recorded data for 30 days in July and August. She wants to know: Is there a correlation between temperature and sales? Can she predict sales based on the weather forecast? Are sales higher on weekends? The data includes variables: day number, max temperature (°C), number of scoops sold, and whether it was a weekend (Yes/No). Your task is to analyse this data and provide a statistical report.

本案例涉及一家本地冰淇淋店“阳光甜筒”,该店希望调查每日最高温度与冰淇淋销量之间的关系。店主记录了七八月份共30天的数据。她想知道:温度与销量之间是否存在相关性?能否根据天气预报预测销量?周末的销量是否更高?数据包含变量:天数、最高温度(°C)、已售球数以及是否为周末(是/否)。你的任务是分析这些数据并提供统计报告。


2. Exploring the Data Set | 探索数据集

Below is a sample of the first 10 days of the data set. There are 30 observations in total.

以下为数据集中前10天的样本。总共有30个观测值。

Day Temp (°C) Scoops Sold Weekend?
1 22 186 No
2 25 215 No
3 19 150 No
4 28 240 Yes
5 30 265 Yes
6 21 178 No
7 26 228 No
8 23 195 No
9 32 290 Yes
10 20 160 No

The full dataset of 30 days is available for analysis. You should verify there are no missing values and identify the types of variables: temperature and scoops sold are continuous numerical; weekend status is categorical (binary).

完整的30天数据集可供分析。你应该确认没有缺失值,并识别变量类型:温度和销量是连续数值型;周末状态是分类(二元)变量。


3. Descriptive Statistics: Central Tendency | 描述统计:集中趋势

Let’s calculate the mean, median, and mode for temperature and scoops sold using the sample data. For the temperature data (sample first 10 days): mean = (22+25+19+28+30+21+26+23+32+20) ÷ 10 = 24.6 °C. To find median, order data: 19,20,21,22,23,25,26,28,30,32; median = (23+25)/2 = 24 °C. Mode: no repeated values, so no mode for this sample.

我们来使用样本数据计算温度和销量的均值、中位数和众数。对于温度数据

Published by TutorHao | GCSE 统计 Revision Series | aleveler.com

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