IGESSIGESS (Institute for Global Economics and Social Sciences)
ECN100FB-A5508（経済学 / Economics 100）Introduction to StatisticsIntroduction to Statistics
高橋 慎Makoto TAKAHASHI
授業コードなどClass code etc
| 学部・研究科Faculty/Graduate school | IGESSIGESS (Institute for Global Economics and Social Sciences) |
| 添付ファイル名Attached documents | |
| 年度Year | 2021 |
| 授業コードClass code | A5508 |
| 旧授業コードPrevious Class code | |
| 旧科目名Previous Class title | |
| 開講時期Term | 春学期授業/Spring |
| 曜日・時限Day/Period | 水2/Wed.2 |
| 科目種別Class Type | |
| キャンパスCampus | 市ヶ谷 / Ichigaya |
| 教室名称Classroom name | |
| 配当年次Grade | 1～4 |
| 単位数Credit(s) | 2 |
| 備考（履修条件等）Notes | |
| 他学部公開科目Open Program | |
| 他学部公開（履修条件等）Open Program (Notes) | |
| グローバル・オープン科目Global Open Program | |
| 成績優秀者の他学部科目履修制度対象Interdepartmental class taking system for Academic Achievers | |
| 成績優秀者の他学部科目履修（履修条件等）Interdepartmental class taking system for Academic Achievers (Notes) | |
| 実務経験のある教員による授業科目Class taught by instructors with practical experience | |
| SDGsCPSDGs CP | |
| アーバンデザインCPUrban Design CP | |
| ダイバーシティCPDiversity CP | |
| 未来教室CPLearning for the Future CP | |
| カーボンニュートラルCPCarbon Neutral CP | |
| 千代田コンソ単位互換提供（他大学向け）Chiyoda Campus Consortium | |
| カテゴリーCategory |
Advanced Courses／専門科目 Elective Courses／自由科目 Faculty of Business Administration／経営学部開講科目 |
| 科目主催学部Faculty Sponsored Department | Business Administration |
すべて開くShow all
すべて閉じるHide All
授業の概要と目的（何を学ぶか）Outline and objectives
This course introduces elementary statistics, covering basic knowledge of descriptive statistics, probability and inferential statistics.
到達目標Goal
After successfully completing this course, students can do the following among others: understand and explain basic concepts; and summarize and examine data using software such as Excel.
授業で使用する言語Default language used in class
英語 / English
授業の進め方と方法Method(s)（学期の途中で変更になる場合には、別途提示します。 /If the Method(s) is changed, we will announce the details of any changes. ）
The class is a combination of lectures and (computer) exercises. In each class, we quickly review a topic by watching a video and then learn the details with discussion and exercises.
アクティブラーニング（グループディスカッション、ディベート等）の実施Active learning in class (Group discussion, Debate.etc.)
あり / Yes
フィールドワーク（学外での実習等）の実施Fieldwork in class
なし / No
授業計画Schedule
※各回の授業形態は予定です。教員の指示に従ってください。
1：Introduction
Data Basics
2：Introduction to data
Sampling principles and strategies / Experiments
3：Summarizing data
Examining numerical data / Considering categorical data
4：Probability
Random variables / Continuous distributions
5：Distributions of random variables
Normal distribution / Geometric distribution /
Binomial distribution
6：Foundations for inference 1
Point estimates and sampling variability
7：Foundations for inference 2
Confidence intervals for a sample proportion
8：Foundations for inference 3
Hypothesis testing for a proportion
9：Inference for categorical data
Inference for a single proportion / Difference of two proportions
10：Inference for numerical data 1
One-sample means with the t-distribution
11：Inference for numerical data 2
Paired data / Difference of two means
12：Inference for numerical data 3
Power calculations for a difference of means
13：Introduction to linear regression
Fitting a line, residuals, and correlation / Least squares regression
14：Review / Final Exam
Review of the course / Evaluation of students' understanding
授業時間外の学習（準備学習・復習・宿題等）Work to be done outside of class (preparation, etc.)
Complete the reading before a new unit begins, and then review again after the unit is over. Do the problem sets specified in class as a homework. Preparatory study and review time for this class are 2 hours each.
テキスト（教科書）Textbooks
Diez, David, Mine Çetinkaya-Rundel and Christopher D. Barr (2019) OpenIntro Statistics, 4th Edition. (This book may be downloaded as a free PDF at openintro.org/os)
参考書References
References will be given in class if any.
成績評価の方法と基準Grading criteria
Homework: 50%
Final Exam: 50%
学生の意見等からの気づきChanges following student comments
We will spend time both on analytical and computer exercises.
学生が準備すべき機器他Equipment student needs to prepare
Laptop or tablet with Excel
その他の重要事項Others
Basic knowledge of Statistics will be very useful for your further study in GBP. Probability theory is used not only in Statistics but also in other subjects such as Finance and Economics. Related courses include, but not limited to, Introduction to Finance, Investments I/II, and Elementary Mathematics A/B.
Please note that if the number of students attending the first class significantly exceeds expectations, in order for the instructor to effectively manage the class, the number of students who are allowed to register for the course may be limited.
Prerequisites
This course has no specific prerequisites. However, familiarity of some mathematical concepts and notations at a high-school level, and working skills of Excel are desirable.