Course Name Year Term Period Faculty / Graduate School All Instructors Credits
50576:Statistics (P) 2025 Fall Wed3 College　Of　Policy　Science TAMURA MASAOKI 2

Campus

OIC

Class Venue

B276

Language

English

Course Outline and Method

In this class, students will learn the basics of statistics. Statistics is a useful subject for both graduation thesis and post-graduation work, but as students progress through the study of statistics, they will encounter aspects that are difficult to understand intuitively, such as normal distribution, estimation, and testing. In this class, we aim to avoid complex mathematics as much as possible and provide an intuitive understanding of normal distribution, estimation, testing, and other aspects.

Basic knowledge of probability calculations is a prerequisite for taking this course, but the textbook also contains explanations of the basics of probability, so even if you don't have sufficient knowledge, you can take the course as long as you are able to study the basics on your own.

We do not follow the textbook exactly in our classes. Please use the textbook as a supplementary reading material when you don't understand something, or as a way to review and prepare for class.

The class schedule may change depending on the level of understanding of the students.

Student Attainment Objectives

The goal for students is to intuitively understand the concepts of estimation and testing, and be able to apply this knowledge when using statistical software.

Recommended Preparatory Course

Course Schedule

Lecture/Instructor（When there are multiple instructors) Theme
Keyword, References and Supplementary Information
1

Descriptive Statistics

【+R-Jugyo】Information for “+R-Jugyo” will be posted on manaba+R.

2

Basics of Probability

number of cases, probability, Napier number

3-4

Probability Distribution

expected value, discrete and continuous probability distribution

5-6

Central Limit Theorem

CLT and its implication in survey

7

Review Session

solve problem sets

8

Standardization and z-test

Standardization and z-test

9

Midterm Quiz

Midterm Quiz

10

t-test

One-sample t-test, Paired t-test, and Two-sample t-test (Welch).

11

Confidence Interval

confidence interval and its applications

12-13

Regression Analysis

Regression Analysis

14

Final Quiz

Final Quiz

Class Format

14 classes on Face to Face basis.

Recommendations for Private Study

If you do not understand the content of the class, please review the relevant pages in your textbook. The textbook contains many examples and problems. Also, if you do not have any knowledge of probability, conditional probability, expected value, etc., please read the relevant pages in advance as preparation before attending class.

Grade Evaluation Method

Kind Percentage Grading Criteria etc.
Final Examination (Written) 0

Report Examination
(A report to be submitted by the unified deadline)		 0

Exams and/or Reports other than those stated above, and Continuous Assessment　
(Evaluation of Everyday Performance in Class)		 100

comments and participations in class: 50%
quiz: 50%

Grade Evaluation Method （Note）

Advice to Students on Study and Research Methods

Textbooks

Title Author Publisher ISBN Code Comment
Head First Statistics: A Brain-Friendly Guide (English Edition) Dawn Griffiths O'Reilly Media 0596527586

Textbooks （Frequency of Use, Note）

Reference Books

Title Author Publisher ISBN Code Comment
統計分布を知れば世界が分かる 松下貢 中央公論新社 4121025644 written in Japanese

Reference Books （Frequency of Use, Note）

Web Pages for Reference

How to Communicate with the Instructor In and Out of Class(Including Instructor Contact Information)

Learning Management System （manaba+R）,Talk with Students

Other Comments

【科目ナンバリング・カリキュラムマップはこちらから/Click here to see the Curriculum-Map and Course-Numbering】
URL:https://secure.ritsumei.ac.jp/students/pathways-future/course/curriculum.html/