Statistics Vocabulary Quick Reference Guide for Year 10 Edexcel | 爱德思Year 10统计词汇速记指南

📚 Statistics Vocabulary Quick Reference Guide for Year 10 Edexcel | 爱德思Year 10统计词汇速记指南

Mastering the precise terminology of statistics is the foundation for success in Edexcel Year 10 and beyond. This guide provides a concise, bilingual walkthrough of all the key words you need to describe data, sampling, graphs, averages, spread, correlation and probability. Use it for quick revision and for building confidence in your exam answers.

掌握统计学中的精确术语是在爱德思 Year 10 以及后续学习中取得成功的基础。本指南为你提供了一份简洁的双语导览，涵盖了你描述数据、抽样、图表、平均数、离散程度、相关性和概率时所需的所有关键词语。用它来快速复习，并让你在考试答题时更加自信。

1. Basic Terminology and Types of Data | 基本术语与数据类型

All statistical work begins with understanding what your data represents. You need to be able to identify whether data is qualitative or quantitative, and recognise the sources from which it comes.

所有的统计工作都始于理解你的数据代表什么。你需要能够识别数据是定性的还是定量的，并认清数据的来源。

Variable: Any characteristic that can vary or take different values in a statistical study, such as a person’s height, test score, or shoe size.

变量: 统计研究中可以变化或取不同值的任何特征，例如人的身高、测试分数或鞋码。

Categorical (Qualitative) Data: Data that describes qualities or categories. This type of data is non-numerical and answers questions like ‘what type?’ or ‘which group?’. Examples include gender, favourite colour, or type of car.

分类（定性）数据: 描述品质或类别的数据。这种数据是非数值的，回答的是“什么类型？”或“哪个组？”之类的问题。例如性别、最喜欢的颜色或汽车类型。

Nominal Data: A type of categorical data where categories have no natural order, for instance, hair colour (blonde, brown, black) or the make of a phone.

名义数据: 一种分类数据，其类别没有自然的顺序，例如发色（金色、棕色、黑色）或手机品牌。

Ordinal Data: Categorical data where the categories have a meaningful order or ranking, such as satisfaction ratings (‘very dissatisfied’, ‘dissatisfied’, ‘neutral’, ‘satisfied’, ‘very satisfied’).

有序数据: 类别具有有意义的顺序或等级的分类数据，例如满意度评分（“非常不满意”、“不满意”、“一般”、“满意”、“非常满意”）。

Quantitative Data: Data that consists of numerical values representing quantities. You can perform arithmetic operations on this data. It is split into discrete and continuous types.

定量数据: 由表示数量的数值组成的数据。你可以对这些数据进行算术运算。它分为离散型和连续型。

Discrete Data: Quantitative data that can only take specific, separate values, often whole numbers that come from counting. Examples: number of students in a class

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

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