《心理统计》课程是心理学本科生的专业核心课，主要涵盖了统计理论、统计方法和数据分析技术等内容，尤其关注这些知识如何在心理学研究中得到应用。课程包括描述统计、推断统计、概率理论、假设检验、相关性分析、回归分析、方差分析等，以及因子分析、聚类分析、多元统计简介等内容。另外，本课程要求学生掌握使用JASP进行心理统计分析。

学习心理统计的重要性在于：1）科学研究：心理学是一个实证科学，依赖于数据来理解人类的思维和行为。统计是用来分析这些数据的工具，可以帮助研究者得出可信的结论。2）数据解读：心理统计不仅能帮助我们理解研究结果，也能帮助我们理解日常生活中的统计数据，如新闻报道、政策决策等。3）批判性思维：学习心理统计可以帮助我们发展批判性思维，我们可以更加准确地评估研究设计的优点和缺点，以及研究结果的可信度。4）专业发展：对于希望从事心理学研究或相关职业的人来说，心理统计是必不可少的技能。了解统计概念和技术，可以增加就业机会，也能在工作中发挥更大的作用。

严超赣研究员给UCAS本科学生讲授《心理统计》课程的同时，学生们撰写了心理统计Wiki百科，供大家学习参考。（注：该Wiki目前仍有较多错误，将由后续的学生维护修正更新）

严超赣研究员的《心理统计》授课视频已经整理成为慕课，大家可以免费在线开放学习：

http://edu.deepbrain.com/PsychStats

The course of Psychological Statistics is a core specialized course for undergraduate psychology students, mainly covering statistical theory, statistical methods, and data analysis techniques, particularly focusing on how these knowledge can be applied in psychological research. The course includes descriptive statistics, inferential statistics, probability theory, hypothesis testing, correlation analysis, regression analysis, analysis of variance, as well as factor analysis, cluster analysis, and an introduction to multivariate statistics. In addition, this course requires students to master JASP for psychological statistical analysis.

The importance of learning psychological statistics lies in: 1) Scientific research: Psychology is an empirical science that relies on data to understand human thought and behavior. Statistics is a tool used to analyze these data, which can help researchers to draw credible conclusions. 2) Data interpretation: Psychological statistics can not only help us understand research results, but also help us understand statistical data in daily life, such as news reporting, policy decision-making, etc. 3)Critical thinking: Learning psychological statistics can help us develop critical thinking skills, enabling us to evaluate the strengths and weaknesses of a research design more accurately, as well as the credibility of research results. 4) Professional development: For those who want to engage in psychological research or related professions, psychological statistics is an essential skill. Understanding statistical concepts and techniques can increase employment opportunities, and it will also play a greater role in work.

While researcher Chaogan Yan taught the course “Psychological Statistics” to UCAS undergraduate students, the students have written a Wikipedia of Psychological Statistics for reference. (P.S.: There are still many bugs in this wiki, which will be maintained and updated by subsequent students)

Researcher Yan Chaogan's lecture video of “Psychological Statistics” has been compiled into a MOOC, and you can learn online for free:

http://edu.deepbrain.com/PsychStats

以下为心理统计Wiki，请点击相应链接学习：

1. 统计和度量的基本概念(Basic concepts of statistics and measurement)
2. 次数分布
3. 集中量数与差异量数
4. z分数、概率、正态分布和二项分布
5. 样本均值的分布与假设检验初步
6. 假设检验初步(II)与t检验
7. 独立样本T检验与相关样本T检验
8. 总体参数的估计
9. 单因素方差分析
10. 重复测量方差分析
11. 二因素ANOVA
12. 相关
13. 回归初步
14. 卡方检验
15. 非参数检验