GBPGBP (Global Business Program)
ECN100FB-A5508（経済学 / Economics 100）Introduction to StatisticsIntroduction to Statistics
Makoto TAKAHASHI
授業コードなどClass code etc
| 学部・研究科Faculty/Graduate school | GBPGBP (Global Business Program) |
| 添付ファイル名Attached documents | |
| 年度Year | 2023 |
| 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 | 市BT‐情実習H |
| 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 |
専門教育科目／Business Administration Courses 専門基礎科目／Introductory Courses of Business Administration |
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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.
この授業を履修することで学部等のディプロマポリシーに示されたどの能力を習得することができるか（該当授業科目と学位授与方針に明示された学習成果との関連）Which item of the diploma policy will be obtained by taking this class?
This course is strongly related to the "DP1-4" and "DP2-1" diploma policies and fairly related to the "DP2-2", "DP4" and "DP5" policies.
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. Homework will be given almost every week, and will be reviewed at the beginning of the next class.
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
授業形態/methods of teaching：対面/face to face
※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[オンライン/online]：Introduction
What is statistics
2[対面/face to face]：Introduction to data 1
Case study / Data Basics
3[対面/face to face]：Introduction to data 2
Sampling principles and strategies / Experiments
4[対面/face to face]：Summarizing data 1
Examining numerical data
5[対面/face to face]：Summarizing data 2
Considering categorical data / Case study
6[対面/face to face]：Probability 1
Defining probability
7[対面/face to face]：Probability 2
Conditional probability
8[対面/face to face]：Probability 3
Sampling from a small population / Random variables / Continuous distributions
9[対面/face to face]：Distributions 1
Normal distribution
10[対面/face to face]：Distributions 2
Geometric distribution / Binomial distribution
11[対面/face to face]：Foundations for inference 1
Point estimates and sampling variability
12[対面/face to face]：Foundations for inference 2
Confidence intervals for a proportion
13[対面/face to face]：Foundations for inference 3
Hypothesis testing for a proportion
14[対面/face to face]：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 or Google spreadsheet
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.