Hiroshima University Syllabus

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Academic Year 2024Year School/Graduate School School of Education
Lecture Code CC221503 Subject Classification Specialized Education
Subject Name 数理統計学概論
Subject Name
Subject Name in
Descriptive Statistics
Instructor MONDEN REI
モンデン レイ
Campus Higashi-Hiroshima Semester/Term 2nd-Year,  First Semester,  2Term
Days, Periods, and Classrooms (2T) Fri1-4:EDU L102
Lesson Style Lecture Lesson Style
(More Details)
Lecture-oriented, Note-taking
Credits 2.0 Class Hours/Week   Language of Instruction J : Japanese
Course Level 2 : Undergraduate Low-Intermediate
Course Area(Area) 25 : Science and Technology
Course Area(Discipline) 01 : Mathematics/Statistics
Eligible Students
Keywords The basics of mathematical statistics
Special Subject for Teacher Education   Special Subject  
Class Status
within Educational
(Applicable only to targeted subjects for undergraduate students)
Criterion referenced
(Applicable only to targeted subjects for undergraduate students)
Secondary School Mathematics Education
(Knowledge and Understanding)
・To understand basic knowledge of teaching contents of mathematic education.
(Abilities and Skills)
・To acquire and utilize the ability to think mathematically about teaching contents of mathematic education such as algebra, geometry, statistics and computer. 
Class Objectives
/Class Outline
The objectives of this course are:
- to enhance education and teaching skills of statistics,
- to acquire the basic knowledge of mathematical statistics
- to acquire mathematical thinking and unique ways of thinking concerning statistics, and
- learn to apply statistics to actual data analysis 
Class Schedule Lesson1: Guidance, What is Statistics? Extraction of Data and Samples

Lesson2: Frequency Distribution

Lesson3: Center Characteristic Value

Lesson4: Variation in Characteristic Value


Lesson6: Regression

Lesson7: Probability, Discrete Probability Distribution

Lesson8; Continuous Probability Distribution

Lesson9: Sample Distribution1

Lesson10: Sample Distribution2

Lesson11:Point Estimation

Lesson12: Interval Estimation1

Lesson13: Interval Estimation2

Lesson14: Hypothesis Testing1

Lesson15: Hypothesis Testing2
Handouts will be distributed. Reference books will be introduced in class.
PC or AV used in
(More Details) Movies (PC)
Learning techniques to be incorporated  
Suggestions on
Preparation and
In mathematic statistics, you need to understand the logic of statistics about data, rather than just solving formulas in order. You sometime cannot understand solved formulas if you do not have knowledge of statistics. You should try to understand the logic of statistics through this course and prepare for and review each lesson well. This lecture will be provided by face-to-face format, only. 
Grading Method exercises and reports
Practical Experience  
Summary of Practical Experience and Class Contents based on it  
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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