日本語 English
| 開講年度/ Academic YearAcademic Year |
20232023 |
| 科目設置学部/ CollegeCollege |
経済学部/College of EconomicsCollege of Economics |
| 科目コード等/ Course CodeCourse Code |
BX438/BX438BX438 |
| テーマ・サブタイトル等/ Theme・SubtitleTheme・Subtitle |
|
| 授業形態/ Class FormatClass Format |
対面（全回対面）/Face to face (all classes are face-to-face)Face to face (all classes are face-to-face) |
| 授業形態（補足事項）/ Class Format (Supplementary Items)Class Format (Supplementary Items) |
|
| 授業形式/ Class StyleCampus |
|
| 校地/ CampusCampus |
池袋/IkebukuroIkebukuro |
| 学期/ SemesterSemester |
秋学期/Fall semesterFall semester |
| 曜日時限・教室/ DayPeriod・RoomDayPeriod・Room |
木2/Thu.2 Thu.2 ログインして教室を表示する（Log in to view the classrooms.） |
| 単位/ CreditsCredits |
22 |
| 科目ナンバリング/ Course NumberCourse Number |
ECX2311 |
| 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/ Assigned YearAssigned 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。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 |
|
| 他学部履修可否/ Acceptance of Other CollegesAcceptance of Other Colleges |
|
| 履修中止可否/ Course CancellationCourse Cancellation |
|
| 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 |
|
| 学位授与方針との関連/ Relationship with Degree PolicyRelationship with Degree Policy |
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| 備考/ NotesNotes |
a) Students will become familiar with the basic concepts of statistics and terminologies.
b) Students will be able to apply their knowledge of statistics for research.
c) Students will be able to use basic statistical features of Microsoft Excel.
This course is designed to help students understand the basics of statistics and apply their knowledge in their research. The class consists of lectures and Excel workshops. The order of topics may be adjusted to maximize learning outcomes.
| 1 | Introduction: What's the point? (Chapter 1 of Naked Statistics) |
| 2 | Descriptive statistics: Who was the best baseball player of all time? (Chapter 2) Excel Workshop: Microsoft Excel basic functions |
| 3 | Deceptive description: He's got a great personality (Chapter 3) Excel Workshop: Descriptive statistics |
| 4 | Correlation: How does Netflix know what movies I like? (Chapter 4) Excel Workshop: Correlation and data visualization 1 |
| 5 | Statistical inference 1: The central limit theorem (Chapter 8) Excel Workshop: Correlation and data visualization 2 |
| 6 | Statistical inference 2 Excel Workshop: Calculate t- & p-values |
| 7 | Statistical inference 3 Excel workshop: Regression analysis 1 |
| 8 | Revision of descriptive statistics, normal distribution, standard deviation 1 |
| 9 | Revision of descriptive statistics, normal distribution, standard deviation 2 Preparation for the data analysis report & academic skills basics. |
| 10 | Excel workshop: Revision: Excel pivot tables |
| 11 | Revision: Statistical inference 1 Polling: How we know that 64 percent of Americans support the death penalty (with a sampling error ± 3 percent) (Chapter 10) |
| 12 | Excel workshop: Regression analysis 2: Simple and multiple linear regression analyses |
| 13 | Regression analysis 3: Dealing with dummy variables and missing values |
| 14 | Conclusion |
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
Students are encouraged to examine statistical information published in news reports and academic essays.
| 種類 (Kind) | 割合 (%) | 基準 (Criteria) |
|---|---|---|
| 筆記試験 (Written Exam) | 45 | |
| 平常点 (In-class Points) | 55 |
8-10 mini assignments (quizzes, mini papers, etc.)(55%) |
| 備考 (Notes) | ||
| The contents of mini assignments will be decided after the class size is finalized. [If applicable] A rubric for a presentation and a short essay will be available for students. Academic Honesty: [If applicable] Students are required to prepare original work. Severe penalties are in place for students found guilty of plagiarism offenses. The submission of identical pieces of work for different courses is also considered an academic offense. | ||
| No | 著者名 (Author/Editor) | 書籍名 (Title) | 出版社 (Publisher) | 出版年 (Date) | ISBN/ISSN |
|---|---|---|---|---|---|
| 1 | Charles Wheelan | Naked Statistics: Stripping the Dread from the Data | W.W. Norton | 2014 | 9780393347777 |
To students who read Japanese: 三好大悟著・堅田洋資監修（2021） 『統計学の基礎から学ぶ Excelデータ分析の全知識』インプレス。ウィーラン, C.著、山形浩生・守岡桜訳（2014）『統計学をまる裸にする データはもう怖くない』日本経済新聞出版社。
a) Students will become familiar with the basic concepts of statistics and terminologies.
b) Students will be able to apply their knowledge of statistics for research.
c) Students will be able to use basic statistical features of Microsoft Excel.
This course is designed to help students understand the basics of statistics and apply their knowledge in their research. The class consists of lectures and Excel workshops. The order of topics may be adjusted to maximize learning outcomes.
| 1 | Introduction: What's the point? (Chapter 1 of Naked Statistics) |
| 2 | Descriptive statistics: Who was the best baseball player of all time? (Chapter 2) Excel Workshop: Microsoft Excel basic functions |
| 3 | Deceptive description: He's got a great personality (Chapter 3) Excel Workshop: Descriptive statistics |
| 4 | Correlation: How does Netflix know what movies I like? (Chapter 4) Excel Workshop: Correlation and data visualization 1 |
| 5 | Statistical inference 1: The central limit theorem (Chapter 8) Excel Workshop: Correlation and data visualization 2 |
| 6 | Statistical inference 2 Excel Workshop: Calculate t- & p-values |
| 7 | Statistical inference 3 Excel workshop: Regression analysis 1 |
| 8 | Revision of descriptive statistics, normal distribution, standard deviation 1 |
| 9 | Revision of descriptive statistics, normal distribution, standard deviation 2 Preparation for the data analysis report & academic skills basics. |
| 10 | Excel workshop: Revision: Excel pivot tables |
| 11 | Revision: Statistical inference 1 Polling: How we know that 64 percent of Americans support the death penalty (with a sampling error ± 3 percent) (Chapter 10) |
| 12 | Excel workshop: Regression analysis 2: Simple and multiple linear regression analyses |
| 13 | Regression analysis 3: Dealing with dummy variables and missing values |
| 14 | Conclusion |
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
Students are encouraged to examine statistical information published in news reports and academic essays.
| 種類 (Kind) | 割合 (%) | 基準 (Criteria) |
|---|---|---|
| 筆記試験 (Written Exam) | 45 | |
| 平常点 (In-class Points) | 55 |
8-10 mini assignments (quizzes, mini papers, etc.)(55%) |
| 備考 (Notes) | ||
| The contents of mini assignments will be decided after the class size is finalized. [If applicable] A rubric for a presentation and a short essay will be available for students. Academic Honesty: [If applicable] Students are required to prepare original work. Severe penalties are in place for students found guilty of plagiarism offenses. The submission of identical pieces of work for different courses is also considered an academic offense. | ||
| No | 著者名 (Author/Editor) | 書籍名 (Title) | 出版社 (Publisher) | 出版年 (Date) | ISBN/ISSN |
|---|---|---|---|---|---|
| 1 | Charles Wheelan | Naked Statistics: Stripping the Dread from the Data | W.W. Norton | 2014 | 9780393347777 |
To students who read Japanese: 三好大悟著・堅田洋資監修（2021） 『統計学の基礎から学ぶ Excelデータ分析の全知識』インプレス。ウィーラン, C.著、山形浩生・守岡桜訳（2014）『統計学をまる裸にする データはもう怖くない』日本経済新聞出版社。