chisquare

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--- chisquare [2023/04/09 03:29] – 创建 yan
+++ chisquare [2024/05/13 07:46] (当前版本) – run1
@@ 行 1: / 行 1: @@
-  * 卡方检验的基本原理
+====== 第十四章：卡方检验======
-  * 卡方分布
-  * 卡方匹配度检验
+======Chapter 14: Chi Square Test======
-  * 卡方独立性检验
-  * 卡方检验的前提和限制
+=)**本章概览 (Guide)**：
-  * 卡方与效应大小
+  * 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)]]

chisquare.1681010965.txt.gz · 最后更改: 2023/04/09 03:29 由 yan