GBP (Global Business Program)

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ECN100FB-A5508(経済学 / Economics 100)
Introduction to Statistics

Makoto TAKAHASHI

Class code etc
Faculty/Graduate school GBP (Global Business Program)
Attached documents
Year 2024
Class code A5508
Previous Class code
Previous Class title
Term 春学期授業/Spring
Day/Period 月2/Mon.2
Class Type
Campus 市ヶ谷 / Ichigaya
Classroom name 市BT‐情実習G
Grade 1~4
Credit(s) 2
Notes
Open Program
Open Program (Notes)
Global Open Program
Interdepartmental class taking system for Academic Achievers
Interdepartmental class taking system for Academic Achievers (Notes)
Class taught by instructors with practical experience
SDGs CP
Urban Design CP
Diversity CP
Learning for the Future CP
Carbon Neutral CP
Chiyoda Campus Consortium
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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Outline and objectives

This course introduces elementary statistics, covering basic knowledge of descriptive statistics, probability and inferential statistics.

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.

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.

Default language used in class

英語 / English

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. )

Slide-based lectures with occasional (computer) exercises. Homework will be given almost every week, and will be reviewed at the beginning of the next class.

Active learning in class (Group discussion, Debate.etc.)

なし / No

Fieldwork in class

なし / No

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[オンライン/online]:Probability 1

Defining probability

7[オンライン/online]:Probability 2

Conditional probability

Week8[オンライン/online]:Probability 3

Sampling from a small population / Random variables / Continuous distributions

Week9[オンライン/online]:Distributions 1

Normal distribution

10[オンライン/online]:Distributions 2

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

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.

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)

References

References will be given in class if any.

Grading criteria

Homework: 50%
Final Exam: 50%

Changes following student comments

We will spend time both on analytical and computer exercises.

Equipment student needs to prepare

Laptop or tablet with Excel or Google spreadsheet is desirable.

Others

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.

The format and content of classes are subject to change depending on progress and other factors.

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.