Teachers | TSUMURA Kenta | |
---|---|---|
Grade, Semester | Year 1 1st semest [Department of Regional Economics, Faculty of Economics] | |
Category | General Basic Subjects | |
Elective, Credits | Elective 2credit | |
Syllabus Number | 0G131 |
This is an introductory course on statistical concepts, probability theory, and methods to interpret statistical data.
For the beginners of statistics, this course introduces basics of statistics such as probability distribution, mean value, and correlation.
1. Understand basic perspectives and knowledge in statistics and probability theory.
2. Acquire basic principles to calculate and summarize data.
3. Acquire basic skills to interpret and discuss statistical data.
Your overall grade in this class will be decided based on the following:
- midterm exam: 20%
- term-end exam: 30%
- homework assignments and short paper: 50%
Kind | Title | Author | Publisher |
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Textbook | No textbook is required. | ||
References |
To prepare each class, read the handouts up-loaded to LMS in advance and check technical terms and formulas.
After each class, review the class and do homework assignments.
This course uses LMS. Handouts will be up-loaded to LMS in advance of the class. Students must print out and bring handouts to the class by themselves.
This course assumes no prior knowledge of differential and integral calculus but requires fundamental knowledge of high school algebra.
In this course, students are required to bring a calculator with square root button to use on exams and quizzes.
The schedule is subject to change due to circumstances.
1 | introduction |
2 | history of probability theory and statistics |
3 | classifications of data and levels of measurement |
4 | probability distribution |
5 | mean, median, mode |
6 | midterm exam |
7 | permutations, combinations and probability |
8 | probability and expected value |
9 | standard deviation |
10 | tables and graphs |
11 | correlation and causation |
12 | correlation coefficient |
13 | practical training for calculation of correlation coefficient using compute |
14 | presentation of a short paper |
15 | term-end exam |