Hiroshima University Syllabus

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Academic Year 2024Year School/Graduate School Liberal Arts Education Program
Lecture Code 68154002 Subject Classification Foundation Courses
Subject Name 統計学[1歯工,1薬]
Subject Name
Subject Name in
イチハシ マサル
Campus Kasumi Semester/Term 1st-Year,  Second Semester,  4Term
Days, Periods, and Classrooms (4T) Thur1-4:霞R304講義室
Lesson Style Lecture Lesson Style
(More Details)
Credits 2.0 Class Hours/Week   Language of Instruction B : Japanese/English
Course Level 1 : Undergraduate Introductory
Course Area(Area) 24 : Social Sciences
Course Area(Discipline) 03 : Economics
Eligible Students
Special Subject for Teacher Education   Special Subject  
Class Status within
Liberal Arts Education
As pre-specialized education, which is organically linked to specialized education, Foundation Courses are aimed at providing students with the basic knowledge necessary to understand specialized studies in their chosen areas, and thereby providing them w 
Expected OutcomeTo understand, acquire, and be able to explain the logical structure and system of the basic disciplines in accordance with each subject and the knowledge and skills necessary for further academic development. 
Class Objectives
/Class Outline
To learn the fundamental method of statistical analysis
To learn some applications of statistics to economic society 
Class Schedule lesson1 Addition Rule and  Conditional Probability
lesson2 Bayes' theorem
lesson3 Random variables and discrete probability density function
lesson4  Probability density function
lesson5 Joint probability density function 1
lesson6 Joint probability density function 2
lesson7  Representative distribution 1
lesson8 Representative distribution  2
lesson9 Population and samples
lesson10 Properties of sample mean and sample variance
lesson11 Properties of expectations
lesson12 Distribution by sample mean
lesson13  Recursiveness of normal distribution
lesson14 Test of hypothesis
lesson15 Students' t-distribution and F-distribution 
Furushima, Ichihashi and Sakanishi (2007), Hajimete no Suri Tokei gaku (in Japanese), Kindai kagakusya. 
PC or AV used in
(More Details) White board or blackboard 
Learning techniques to be incorporated  
Suggestions on
Preparation and
Do some exercises with the textbook. 
Grading Method By regular examination.
In case I give you some assignments, those can be evaluated by maximum 30%.
The rest will be evaluated by the regular exam. 
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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