日本語 English
| 開講年度/ Academic YearAcademic Year |
20232023 |
| 科目設置学部/ CollegeCollege |
経営学研究科/Graduate School of BusinessGraduate School of Business |
| 科目コード等/ Course CodeCourse Code |
KT221/KT221KT221 |
| テーマ・サブタイトル等/ Theme・SubtitleTheme・Subtitle |
To provide the full scope of the fundamental topics in statistics for economic and business analysis. |
| 授業形態/ Class FormatClass Format |
対面（一部オンライン）/Face-to-face (partially online)Face-to-face (partially online) |
| 授業形態（補足事項）/ Class Format (Supplementary Items)Class Format (Supplementary Items) |
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| 授業形式/ Class StyleCampus |
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| 校地/ CampusCampus |
池袋/IkebukuroIkebukuro |
| 学期/ SemesterSemester |
秋学期/Fall semesterFall semester |
| 曜日時限・教室/ DayPeriod・RoomDayPeriod・Room |
火4･6409/Tue.4･6409 Tue.4･6409 |
| 単位/ CreditCredit |
22 |
| 科目ナンバリング/ Course NumberCourse Number |
MIB6211 |
| 使用言語/ LanguageLanguage |
英語/EnglishEnglish |
| 履修登録方法/ Class Registration MethodClass Registration Method |
科目コード登録/Course Code RegistrationCourse Code Registration |
| 配当年次/ Grade (Year) RequiredGrade (Year) Required |
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。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。 |
| 先修規定/ prerequisite regulationsprerequisite regulations |
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| 他学部履修可否/ Acceptance of Other CollegesAcceptance of Other Colleges |
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| 履修中止可否/ course cancellationcourse cancellation |
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| オンライン授業60単位制限対象科目/ Online Classes Subject to 60-Credit Upper LimitOnline Classes Subject to 60-Credit Upper Limit |
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| 学位授与方針との関連/ Relationship with Degree PolicyRelationship with Degree Policy |
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| 備考/ NotesNotes |
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| テキスト用コード/ Text CodeText Code |
KT221 |
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.
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.
※Please refer to Japanese Page for details including evaluations, textbooks and others.
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.
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.
| 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 | Hypothesis testing: Two or more populations |
| 12 | Final test |
| 13 | Least squares and simple regression |
| 14 | Students’ presentation & Wrap-up |
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
It is important to complete the readings of the assigned textbook chapter prior to each class session. Weekly or bi-weekly homework sets are assigned.
| 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) | ||
| 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. | |||||
| その他 (Others) | |||||
|---|---|---|---|---|---|
| TBA |
Since this course is designed for graduate students, strict attendance and deadline policies are enforced. Each must be responsible for considering his/her study efforts before the enrolment.
The number of face-to-face classes is less than 7 times out of 14 times.