日本語

Course Code etc
Academic Year 2024
College Graduate School of Business
Course Code KT221
Theme・Subtitle To provide the full scope of the fundamental topics in statistics for economic and business analysis.
Class Format Face to face (all classes are face-to-face)
Class Format (Supplementary Items)
Campus Lecture
Campus Ikebukuro
Semester Fall semester
DayPeriod・Room Tue.4
ログインして教室を表示する(Log in to view the classrooms.)
Credits 2
Course Number MIB6211
Language English
Class Registration Method Course Code Registration
Assigned Year 配当年次は開講学部のR Guideに掲載している科目表で確認してください。
Prerequisite Regulations
Acceptance of Other Colleges 履修登録システムの『他学部・他研究科履修不許可科目一覧』で確認してください。
Course Cancellation -(履修中止制度なし/ No system for cancellation)
Online Classes Subject to 60-Credit Upper Limit
Relationship with Degree Policy 各授業科目は、学部・研究科の定める学位授与方針(DP)や教育課程編成の方針(CP)に基づき、カリキュラム上に配置されています。詳細はカリキュラム・マップで確認することができます。
Notes

【Course Objectives】

Statistics is the science of learning from data, and of measuring, controlling, and communicating uncertainty. (Davidian, M. and Louis, T. A., Science, 06 Apr 2012).
This course introduces basic concepts in probability and statistics as a tool for empirical analysis in the issues of economics, business, and public management to master programs’ students. The goal of this course is to enhance the students’ quantitative analytical skills in writing term papers and master’s dissertations.

【Course Contents】

This course provides the full scope of the fundamental topics within statistics and covers descriptive statistics, basic probability theory, sampling distributions, confidence interval estimation, hypothesis testing, and regression analysis.
This course consists of lecture-based sessions and the computer workshop of Stata, a widely used statistical package in the subject of economics, political science, business and marketing, and other social science.

Japanese Items

【授業計画 / Course Schedule】

1 Introduction
2 Descriptive statistics
3 Probability
4 Discrete random variables and probability distribution
5 Continuous random variables and probability distribution
6 Stata workshop I
7 Sampling distribution
8 Point and interval estimation
9 Hypothesis testing: Single population
10 Stata workshop II
11 Final test
12 Hypothesis testing: Two or more populations
13 Least squares and simple regression
14 Students’ presentation & Wrap-up

【活用される授業方法 / Teaching Methods Used】

板書 /Writing on the Board
スライド(パワーポイント等)の使用 /Slides (PowerPoint, etc.)
上記以外の視聴覚教材の使用 /Audiovisual Materials Other than Those Listed Above
個人発表 /Individual Presentations
グループ発表 /Group Presentations
ディスカッション・ディベート /Discussion/Debate
実技・実習・実験 /Practicum/Experiments/Practical Training
学内の教室外施設の利用 /Use of On-Campus Facilities Outside the Classroom
校外実習・フィールドワーク /Field Work
上記いずれも用いない予定 /None of the above

【授業時間外(予習・復習等)の学修 / Study Required Outside of Class】

It is important to complete the readings of the assigned textbook chapter before each class session. Weekly homework sets are assigned.

【成績評価方法・基準 / Evaluation】

種類 (Kind)割合 (%)基準 (Criteria)
平常点 (In-class Points)100 最終テスト(Final Test)(30%)
Class participation(10%)
Homework assignment(30%)
Research assignment(30%)
備考 (Notes)

【テキスト / Textbooks】

No著者名 (Author/Editor)書籍名 (Title)出版社 (Publisher)出版年 (Date)ISBN/ISSN
1 Newbold et al. Statistics for Business and Economics, 8th edition Pearson Education 2012 9780273767060
2 Weinberg et al. Statistics Using Stata: An Integrative Approach, 2nd edition Cambridge University Press 2020 110872583
その他 (Others)
Newbold et al.(2012) is a worldwide best-selling textbook covering the fundamental topics in statistics. Although this course cannot cover all chapters of the book, I strongly recommend purchasing a copy. Note that there is one copy in the library.

【参考文献 / Readings】

その他 (Others)
TBA

【履修にあたって求められる能力 / Abilities Required to Take the Course】

【学生が準備すべき機器等 / Equipment, etc., that Students Should Prepare】

【その他 / Others】

As this course is designed for graduate students, it is essential to follow strict attendance and deadline policies. Undergraduate exchange students are required to evaluate their commitment to their academic studies before enrolling in the program.

【注意事項 / Notice】