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STATISTICS 2
| Subtitle | Regression Analysis, Application of Statistical Analysis in Social Science, and Mathematical Basis of Statistics |
|---|---|
| Lecturer(s) | AKABAYASHI, YOSHIO |
| Credit(s) | 2 |
| Academic Year/Semester | 2023 Fall |
| Day/Period | Mon.4 |
| Campus | Hiyoshi |
| Class Format | Face-to-face classes (conducted mainly in-person) |
| Registration Number | 26395 |
| Faculty/Graduate School | ECONOMICS |
| Department/Major | ECONOMICS Type A, B |
| Year Level | 1 |
| Class Specification | 23, 24, 25, 26, 35, 36, 37 |
| Field | FOUNDATION MANDATORY (1ST YEAR) |
| Course Description | Lectures on the basics of theoretical and empirical methods of statistics, which are often used in economic analysis. Learn the basics of statistical description, statistical inference, and probability theory to understand the structure of a population from a sample. In the class, while giving familiar concrete examples, we will touch on how statistics are used and practice data processing. |
| K-Number | FEC-EC-13101-211-60 |
| Course Administrator | Faculty/Graduate School | FEC | ECONOMICS |
|---|---|---|---|
| Department/Major | EC | ECONOMICS | |
| Main Course Number | Level | 1 | First-year level coursework |
| Major Classification | 3 | Foudation Course / Major Subjects Course - Introductory Subject | |
| Minor Classification | 10 | Foundational Course - Statistics | |
| Subject Type | 1 | Required subject | |
| Supplemental Course Information | Class Classification | 2 | Lecture |
| Class Format | 1 | Face-to-face classes (conducted mainly in-person) | |
| Language of Instruction | 1 | Japanese | |
| Academic Discipline | 60 | Information science, computer engineering, and related fields | |
Course Contents/Objectives/Teaching Method/Intended Learning Outcome
(1) By learning the regression analysis (analysis on causality between multiple variables), students will learn about the basics of empirical analysis of economic theory.
(2) By learning the applied statistical analysis (statistical analysis about various economic and social phenomena), students will develop the ability to apply statistics to a wide range in the real world.
(3) By learning the mathematical basis of statistics, students will be able to prepare for more advanced statistical analysis.
Not only lectures but also exercises will be emphasized, and also statistical processing using computers will be instructed.
(2) By learning the applied statistical analysis (statistical analysis about various economic and social phenomena), students will develop the ability to apply statistics to a wide range in the real world.
(3) By learning the mathematical basis of statistics, students will be able to prepare for more advanced statistical analysis.
Not only lectures but also exercises will be emphasized, and also statistical processing using computers will be instructed.
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