差别

这里会显示出您选择的修订版和当前版本之间的差别。

--- in_dependentt [2023/03/18 04:32] – zhangruihao
+++ in_dependentt [2024/03/24 03:03] (当前版本) – run1
@@ 行 1: / 行 1: @@
-  * 独立样本均值差异的分布
+====== 第七章：独立样本t检验与相关样本t检验======
-  * 独立样本的t统计量
-  * [[独立样本t检验的统计前提]]
+======Chapter 7: Independent Sample T-test and Related Sample T-test======
-  * 独立样本t检验的效应量、置信区间和效力
-  * 相关样本t检验统计量
+=)**本章概览 (Guide)**：
-  * 相关样本t检验的效应量、置信区间和效力
+  * 在之前的学习中，我们掌握了单样本t检验。在本章，我们学习了两样本t检验的方法。其中，独立样本t检验是在两样本互不相关的基础上进行的，而相关样本t检验的两样本之间存在匹配或前后比较关系。学会区分并应用这两种t检验方法，有助于我们判断两个样本之间是否存在显著差别。注意学习本章时，可以结合之前单样本t检验的内容进行对比学习。\\ In previous lectures, we have mastered the single sample T-test. In this chapter, we learned the method of two sample T-test. Among them, the independent sample t-test is conducted on the basis of two samples being uncorrelated, while the correlated sample T-test shows that there is a matching or comparison relationship between the two samples. Learning to distinguish and apply these two t-test methods can help us determine whether there is a significant difference between two samples. When studying this chapter, you can combine the content of the previous single sample t-test for comparative learning.
-  * 相关样本t检验的统计前提
+:!:**学习要点 (Learning Points)**：
+  - 区分独立样本t检验与相关样本t检验\\ Distinguishing between independent sample t-test and correlated sample T-test
+  - 掌握独立样本t检验与相关样本t检验的逻辑\\ Master the logic of independent sample t-test and related sample T-test
+  - 学会计算独立样本与相关样本的t统计量\\ Learn how to calculate T-statistics for independent and related samples
+  - 学习独立样本t检验与相关样本t检验的统计前提\\ Statistical prerequisites for learning independent sample T-tests and correlated sample T-tests
+  - 掌握独立样本t检验与相关样本t检验的效应与效力\\ Master the effects and efficacy of independent sample T-tests and related sample T-tests
+----
+**目录**
+  * [[独立样本均值差异的分布|独立样本均值差异的分布 (Master the effects and efficacy of independent sample t-tests and related sample T-tests)]]
+  * [[独立样本的t统计量|独立样本的t统计量 (T-statistic of independent samples)]]
+  * [[独立样本t检验的统计前提|独立样本t检验的统计前提 (Statistical prerequisites for independent sample T-test)]]
+  * [[独立样本t检验的效应量、置信区间和效力|独立样本t检验的效应量、置信区间和效力 (Effect size, confidence interval, and efficacy of independent sample t-test)]]
+  * [[相关样本t检验统计量|相关样本t检验统计量 (Related sample T-test statistics)]]
+  * [[相关样本t检验的效应量、置信区间和效力|相关样本t检验的效应量、置信区间和效力 (Effect size, confidence interval, and efficacy of T-test for relevant samples)]]
+  * [[相关样本t检验的统计前提|相关样本t检验的统计前提(Statistical prerequisites for t-test of relevant samples)]]
+**作业**
+  * [[第七章作业|2023作业 (homework of 2023)]]
+  * [[2024第七章作业|2024作业 (homework of 2024)]]