Core Statistics Knowledge for Year 7 AQA | Year 7 AQA 统计：核心知识点梳理

📚 Core Statistics Knowledge for Year 7 AQA | Year 7 AQA 统计：核心知识点梳理

In Year 7, you will build a strong foundation in statistics. Learning how to collect, organise, display and interpret data helps you make sense of the world through numbers. This revision guide covers all the core topics you need to master for AQA Key Stage 3 statistics.

在七年级，你将为统计学打下坚实基础。学习如何收集、整理、展示和解读数据，帮助你通过数字理解世界。这份复习指南涵盖了你需要掌握的AQA关键阶段3统计学的所有核心主题。

1. Collecting Data | 数据收集

Data is information we collect to answer questions. We can gather data by carrying out surveys, performing experiments, or making observations. A well-designed data collection plan ensures the information is reliable and relevant.

数据是我们为回答问题而收集的信息。我们可以通过开展调查、进行实验或观察来收集数据。一个精心设计的数据收集计划能确保信息可靠且相关。

Primary data comes from your own research. For example, if you measure the hand spans of your classmates, that is primary data. Secondary data is data that someone else has already collected, such as data from a website or a textbook.

一手数据来自你自己的研究。例如，如果你测量同学的手掌宽度，那就是一手数据。二手数据是别人已经收集好的数据，比如来自网站或教科书的数据。

A population is the entire group you are interested in. A sample is a smaller group selected from the population. To make valid conclusions, the sample should represent the population fairly. Biased samples can lead to wrong conclusions.

总体是你感兴趣的整个群体。样本是从总体中选出的一个较小群体。为了得出有效的结论，样本应公平地代表总体。有偏见的样本可能导致错误的结论。

2. Types of Data | 数据类型

Data can be divided into two main types: qualitative (categorical) and quantitative (numerical). Qualitative data describes characteristics or groups, like favourite sport or eye colour. Quantitative data involves numbers and can be measured or counted.

数据可分为两大类：定性（类别）数据和定量（数值）数据。定性数据描述特征或组别，如最喜欢的运动或眼睛颜色。定量数据涉及数字，可以测量或计数。

Quantitative data splits into discrete and continuous. Discrete data can only take certain values, usually whole numbers. Examples include the number of pets someone has or the score on a dice. Continuous data can take any value within a range, such as height, weight or time.

定量数据分为离散型和连续型。离散数据只能取某些特定值，通常是整数。例子包括某人养的宠物数量或掷骰子的得分。连续数据可以取一个范围内的任何值，例如身高、体重或时间。

It is important to know the type of data because it affects which charts and calculations you can use. For example, you cannot find the mean of categorical data, but you can find the mode.

了解数据类型很重要，因为它会影响你可以使用哪些图表和计算。例如，你无法求出类别数据的均值，但你可以找到众数。

3. Frequency Tables | 频数表

Published by TutorHao | Year 7 统计 Revision Series | aleveler.com

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