Hiroshima University Syllabus

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Japanese
Academic Year 2018Year School/Graduate School School of Economics Economics Evening Program
Lecture Code G8265100 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 ODAKI MITSUHIRO
Instructor
(Katakana)
オダキ ミツヒロ
Campus Higashi-Senda Semester/Term 1st-Year,  First Semester,  First Semester
Days, Periods, and Classrooms (1st) Mon13-14:Higashi-Senda 501
Lesson Style Lecture Lesson Style
【More Details】
To be announced later in the course. 
Credits 2 Class Hours/Week   Language on Instruction J : Japanese
Course Level 1 : Undergraduate Introductory
Course Area(Area) 24 : Social Sciences
Course Area(Discipline) 24 : Economics
Eligible Students  
Keywords Descriptive statistics; economic statistics; probability; estimation;
hypothesis testing.  
Special Subject for Teacher Education   Special Subject  
Class Status
within Educational
Program
The aim of this course is to provide the basic ideas and concepts used in statistics, with a focus on applications to empirical economics.   
Criterion referenced
Evaluation
Economics and Management
(Knowledge and Understanding)
・Basic knowledge of economic analysis 
Class Objectives
/Class Outline
The aim of this course is to provide the basic ideas and concepts used in statistics, with a focus on applications to empirical economics.
This statistics course introduces the basic concepts of statistical analysis, with a focus on applications to empirical economics. The course starts with an introduction to descriptive statistics and several economic statistics. The course is followed by an introduction to probability theory and then elementary of statistical estimation and hypothesis testing.  
Class Schedule lesson1
lesson2
lesson3
lesson4
lesson5
lesson6
lesson7
lesson8
lesson9
lesson10
lesson11
lesson12
lesson13
lesson14
lesson15 
Text/Reference
Books,etc.
Kosuke Oya (2011), Core Text Statistics, 2nd version, Shinseisya (in Japanese)
ISBN978-4-88384-178-3 
PC or AV used in
Class,etc.
To be announced later in the course. 
Suggestions on
Preparation and
Review
To be announced later in the course. 
Requirements  
Grading Method The  final is worth 100%. Grades will be assigned according to your relative standing in the class. 
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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