G8265101 Introduction to Statistics

Hiroshima University Syllabus

Japanese

Academic Year 2025Year School/Graduate School School of Economics Economics Evening Course

Lecture Code G8265101 Subject Classification Specialized Education

Subject Name 統計学入門

Subject Name
（Katakana）トウケイガクニュウモン

Subject Name in
English Introduction to Statistics

Instructor HAYAKAWA KAZUHIKO

Instructor
(Katakana) ハヤカワ　カズヒコ

Campus Higashi-Senda Semester/Term 1st-Year, First Semester, First Semester

Days, Periods, and Classrooms (1st) Fri13, (1st) Fri14：Higashi-Senda Lecture Rm M303

Lesson Style Lecture Lesson Style
(More Details) Face-to-face, Online (simultaneous interactive), Online (on-demand)

Basically, Face-to-Face lectures are provided. However, it may switch to online lecture depending on the circumstances.

Credits 2.0 Class Hours/Week 2 Language of Instruction J : Japanese

Course Level 1 : Undergraduate Introductory

Course Area（Area） 24 : Social Sciences

Course Area（Discipline） 03 : Economics

Eligible Students 1st year student

Keywords statistics, data analysis, descriptive statistics, statistical inference

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) Economics and Management
（Knowledge and Understanding）
・Basic knowledge of economic analysis

Class Objectives
/Class Outline The goal of this course is to provide statistical skills necessary for data analysis.

Class Schedule lesson1 Guidance
lesson2 Review of mathematics
lesson3 Data summary
lesson4 Data summary
lesson5 Descriptive statistics
lesson6 Descriptive statistics
lesson7 Probability
lesson8 Probability
lesson9 Discrete random variable
lesson10 Discrete random variable
lesson11 Discrete random variable
lesson12 Continuous random variable
lesson13 Continuous random variable
lesson14 Continuous random variable
lesson15 Summary of the course

Quiz, homework and final exam

Text/Reference
Books,etc. Kosuke Oya "Core test Statistics"

PC or AV used in
Class,etc. Text, Handouts, Microsoft Teams, Microsoft Stream

(More Details) slide

Learning techniques to be incorporated

Suggestions on
Preparation and
Review Since the topics of this lecture are interrelated, students are required to review each topic.

Requirements This lecture will use basic mathematics, so at a minimum, students should know the meaning of the symbol for the summation operation (Σ). However, a brief review of mathematics will be given at the beginning of the lecture.

Grading Method Report (30%) and final exam (70%)

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.

Academic Year	2025Year	School/Graduate School	School of Economics Economics Evening Course
Lecture Code	G8265101	Subject Classification	Specialized Education
Subject Name	統計学入門
Subject Name （Katakana）	トウケイガクニュウモン
Subject Name in English	Introduction to Statistics
Instructor	HAYAKAWA KAZUHIKO
Instructor (Katakana)	ハヤカワ　カズヒコ
Campus	Higashi-Senda	Semester/Term	1st-Year, First Semester, First Semester
Days, Periods, and Classrooms	(1st) Fri13, (1st) Fri14：Higashi-Senda Lecture Rm M303
Lesson Style	Lecture	Lesson Style (More Details)	Face-to-face, Online (simultaneous interactive), Online (on-demand)
Basically, Face-to-Face lectures are provided. However, it may switch to online lecture depending on the circumstances.
Credits	2.0	Class Hours/Week	2	Language of Instruction	J : Japanese
Course Level	1 : Undergraduate Introductory
Course Area（Area）	24 : Social Sciences
Course Area（Discipline）	03 : Economics
Eligible Students	1st year student
Keywords	statistics, data analysis, descriptive statistics, statistical inference
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)	Economics and Management （Knowledge and Understanding）・Basic knowledge of economic analysis
Class Objectives /Class Outline	The goal of this course is to provide statistical skills necessary for data analysis.
Class Schedule	lesson1 Guidance lesson2 Review of mathematics lesson3 Data summary lesson4 Data summary lesson5 Descriptive statistics lesson6 Descriptive statistics lesson7 Probability lesson8 Probability lesson9 Discrete random variable lesson10 Discrete random variable lesson11 Discrete random variable lesson12 Continuous random variable lesson13 Continuous random variable lesson14 Continuous random variable lesson15 Summary of the course Quiz, homework and final exam
Text/Reference Books,etc.	Kosuke Oya "Core test Statistics"
PC or AV used in Class,etc.	Text, Handouts, Microsoft Teams, Microsoft Stream
(More Details)	slide
Learning techniques to be incorporated
Suggestions on Preparation and Review	Since the topics of this lecture are interrelated, students are required to review each topic.
Requirements	This lecture will use basic mathematics, so at a minimum, students should know the meaning of the symbol for the summation operation (Σ). However, a brief review of mathematics will be given at the beginning of the lecture.
Grading Method	Report (30%) and final exam (70%)
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.

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