| Academic Year |
2024Year |
School/Graduate School |
Liberal Arts Education Program |
| Lecture Code |
68154001 |
Subject Classification |
Foundation Courses |
| Subject Name |
統計学[1医医,1医看,1医理,1医作] |
Subject Name
（Katakana） |
トウケイガク |
Subject Name in
English |
Statistics |
| Instructor |
YAMAMURA MARIKO,YAMAMURA MARIKO |
Instructor
(Katakana) |
ヤマムラ マリコ,ヤマムラ マリコ |
| Campus |
Kasumi |
Semester/Term |
1st-Year, Second Semester, 3Term |
| Days, Periods, and Classrooms |
(3T) Thur1-4：霞R204講義室 |
| Lesson Style |
Lecture |
Lesson Style
(More Details) |
|
| Lecture |
| 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 |
|
| Keywords |
|
| 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 Outcome | To 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 |
Text/Reference
Books,etc. |
None |
PC or AV used in
Class,etc. |
|
| (More Details) |
White board or blackboard |
| Learning techniques to be incorporated |
|
Suggestions on
Preparation and
Review |
Do some exercises with the textbook. |
| Requirements |
|
| 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 |
|
| 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. |