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====== 第十四章：卡方检验======

======Chapter 14: Chi Square Test======

=)**本章概览 (Guide)**：
  * 之前我们学习了参数检验，参数检验一般用于等比/等距型数据，而且要求参数要服从正态分布和方差同质性。而对命名/顺序型数据，我们需要利用非参数检验。非参数检验虽然不如参数检验敏感，但是数据无需服从正态分布。卡方检验就是最常见的非参数检验之一。\\ *Previously, we learned about parameter testing, which is generally used for proportional/isometric data and requires parameters to follow a normal distribution and homogeneity of variance. For named/sequential data, we need to use non parametric tests. Although non parametric testing is not as sensitive as parametric testing, the data does not need to follow a normal distribution. The chi square test is one of the most common non parametric tests.
 
 :!:**学习要点 (Learning Points)**：
  - 区分参数检验与非参数检验\\ Distinguishing between parametric and non parametric tests
  - 了解卡方检验的基本原理\\ Understand the basic principles of chi square test
  - 学习卡方分布的特点\\ The characteristics of learning chi square distribution
  - 掌握卡方匹配度检验与卡方独立性检验\\ Mastering the chi square matching test and chi square independence test
  - 了解卡方检验的前提与限制\\ Understand the prerequisites and limitations of chi square testing
  - 学会计算卡方检验的效应量\\ Learn to calculate the effect size of chi square test

----
**目录**
  * [[卡方检验的基本原理|卡方检验的基本原理 (The basic principle of chi square test)]]
  * [[卡方分布|卡方分布 (Chi square distribution)]]
  * [[卡方匹配度检验|卡方匹配度检验(Chi square matching test)]]
  * [[卡方独立性检验|卡方独立性检验 (Chi square independence test)]]
  * [[卡方检验的前提和限制|卡方检验的前提和限制 (The prerequisites and limitations of chi square test)]]
  * [[卡方与效应大小|卡方与效应大小 (Chi square and effect size)]]

**作业**
  * [[第十四章作业|2023作业 (Homework 2023)]]
  * [[2024homework14|2024作业 (Homework 2024)]]