- Themes of course are statistical methods and multivariable analysis methods as well as the warp and woof model of problem-solving for statistical analysis.
The goal of this course is to master the basic techniques of statistics often used in the areas of education and psychology.
Introductory and intermediate statistics
✔ Specialist skills | Intercultural skills | Communication skills | Critical thinking skills | Practical and/or problem-solving skills |
The lessons of this course consist of six paired lecture and homework exercise and final review lesson.
Course schedule | Required learning | |
---|---|---|
Class 1 | Basic Statistics and statistical tests (An E-mail from m-domain address is required until 12:00 on April 14th.) | Exercises by the gaming instructional material |
Class 2 | Correlation and cross tabulation | Exercises by the gaming instructional material |
Class 3 | Analysis of variance | Exercises by the gaming instructional material |
Class 4 | Regression analysis | Exercises by the gaming instructional material |
Class 5 | Principal component analysis and factor analysis | Exercises by the gaming instructional material |
Class 6 | Cluster analysis | Exercises by the gaming instructional material |
Class 7 | Review and Q/A | Review report |
Matsuda, T. and Hagiuda, N. (Eds.) (2021) Introduction to data science for problem-solving, Jikkyo Syuppan.
E-learning materials
(Additional information will be introduced when necessary.)
Homework Exercises and final report (Students who did not submit any exercise or final report lose their credits.)
None
stat-ask [at] et.hum.titech.ac.jp
Office hours by appointment.