| Academic Year |
2025Year |
School/Graduate School |
School of Economics Economics Day Course |
| Lecture Code |
G6004312 |
Subject Classification |
Specialized Education |
| Subject Name |
統計学１ |
Subject Name
（Katakana） |
トウケイガク１ |
Subject Name in
English |
Statistics 1 |
| Instructor |
To be announced. |
Instructor
(Katakana) |
タントウキョウインミテイ |
| Campus |
Higashi-Hiroshima |
Semester/Term |
1st-Year, Second Semester, 3Term |
| Days, Periods, and Classrooms |
(3T) Thur1-4：ECON B257 |
| Lesson Style |
Lecture |
Lesson Style
(More Details) |
Face-to-face, Online (simultaneous interactive), Online (on-demand) |
| |
| Credits |
2.0 |
Class Hours/Week |
4 |
Language of Instruction |
J
:
Japanese |
| Course Level |
1
:
Undergraduate Introductory
|
| Course Area（Area） |
24
:
Social Sciences |
| Course Area（Discipline） |
03
:
Economics |
| Eligible Students |
|
| Keywords |
Statistics, Probability, Distribution |
| Special Subject for Teacher Education |
|
Special Subject |
|
Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students) | |
|---|
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students) | Economic Analysis
（Knowledge and Understanding）
・Basic knowledge of mathematical analysis approach on economic issues
Economics and Management
（Knowledge and Understanding）
・Basic knowledge of economic analysis |
|---|
Class Objectives
/Class Outline |
The goal of this course is to understand statistical thinking and to acquire the basic skills necessary for the proper use of statistical methods. |
| Class Schedule |
1. Introduction
2. Lorenz curve
3. Probability (1)
4. Probability (2)
5. Representative value
6. Covariance and correlation
7. Discrete and continuous random variables
8. Review of first half lectures and mid-term exam
9. Multivariate distributions
10. Binomial distribution
11. Normal distribution (1)
12. Normal distribution (2)
13. Law of large numbers
14. Central limit theorem
15. Review of second half lectures
Class room reports, Mid-term exam, Final exam |
Text/Reference
Books,etc. |
Textbooks and reference materials will be introduced as needed. |
PC or AV used in
Class,etc. |
Handouts, Zoom, moodle |
| (More Details) |
|
| Learning techniques to be incorporated |
|
Suggestions on
Preparation and
Review |
Students are expected to carefully read the distributed materials and make efforts to prepare for and review each class. |
| Requirements |
None |
| Grading Method |
HW, Mid-term exam, Final exam |
| Practical Experience |
|
| Summary of Practical Experience and Class Contents based on it |
|
| Message |
|
| Other |
|
Please fill in the class improvement questionnaire which is carried out on all classes.
Instructors will reflect on your feedback and utilize the information for improving their teaching. |