SemesterFall Semester, 2023
DepartmentFreshman Class of BA in Global Governance
Course NameStatistics(Ⅰ)
Course TypeRequired
Course Objective
Course Description
Course Schedule



Content and Reading Assignment

Teaching Activities and Homework


Course Introduction




Statistics and Social Research

Ch. 1

Lecture; In-class Discussion; Homework


Basic Descriptive Statistics I

Ch. 2

Lecture; In-class Discussion; Homework


Descriptive Statistics: Measures

of Central Tendency

Ch. 3

Lecture; In-class Discussion; Homework


National Day




Descriptive Statistics: Measures of Dispersion

Ch. 4

Lecture; In-class Discussion; Homework


Introduction to R: The 1st Lesson


Lecture; In-class Discussion


The Normal Curve

Ch. 5

Lecture; In-class Discussion; Homework


Introduction to Inferential Statistics: Sampling and the Sampling Distribution

Ch. 6

Lecture; In-class Discussion; Homework


R: The 2nd Lesson




The 1st Quiz and Review




Estimation Process

Ch. 7

Lecture; In-class Discussion; Homework


Hypothesis Testing I: The One-Sample Case

Ch. 8

Lecture; In-class Discussion; Homework


Hypothesis Testing I: The One-Sample Case (continues)

Ch. 8

Lecture; In-class Discussion; Homework


Hypothesis Testing II: The Two-Sample Case

Ch. 9

Lecture; In-class Discussion; Homework


R project


Group project activity


R project


Group project activity


Final Exam



Teaching Methods
Teaching Assistant




Class attendance is required. Statistics learning requires you to gradually but constantly build your knowledge and skills. It is tough to catch up once you get behind. You are also expected to contribute to the class by asking questions, participating in class discussions, and working with each other on in-class exercises. Therefore, your attendance is essential for making these contributions.


Reading Assignments:

You are expected to read the assigned chapters before each session (see the class schedule above). To complete reading assignments successfully, you need to understand what is in each chapter. Therefore, in addition to highlighting the text and taking notes, I suggest you write down any specific questions. It would help if you planned to spend 3 hours before and 3 hours after the weekly class.

You may find some chapters challenging to follow. Don't worry if this happens. It is crucial to finish reading the assigned chapter before each session to get a general idea about it and go back to it after class to ensure you understand the materials better.


Homework Assignments:

Learning by doing is very important for your understanding of statistics. You will be given homework exercises at the end of most sessions. Homework questions for each chapter will be uploaded to Moodle. You will have at least a week to complete each assignment. If you start working on your homework early, you will have a chance to ask questions in the next class session before submitting your assignments.

I will collect assignments at the beginning of the scheduled class sessions. You will lose points if you turn in your homework late (anytime after the class session starts and before 4:00 pm on the next day). You should upload your assignments to Moodle in MS Word format.


Group Project:

There will be a two-week group project at the end of the semester (Week 16 & Week 18). You'll need to form project groups. Each group will have a maximum of 5 students per group and should consist of members from at least two countries. Each group will design a questionnaire to survey fellow students in the first week. The data collected will then be analyzed in the 2nd week with R.


Honor Code:

Please help each other, by all means, to exchange notes for missed class sessions, study for exams, etc. However, the assignments (homework or quizzes) you turn in should result from your hard work. You should not copy your peer's work. In short, No Plagiarism or Cheating. Any violation, if confirmed after a third-party investigation, will result in a "zero" grade for that particular assignment or an "F" for the course, at my discretion.



Homework Assignments: 55%

Group Project: 15%

Tests (quizzes including final): 20%

Attendance: 10%


A+: 90-99        A: 85-89          A-: 80-84

B+: 77-79        B: 73-76          B-: 70-72

C+: 67-69        C: 63-66          C-: 60-62

D: 50-59         


Textbook & Reference

Healey, J. F., 2021. Statistics: A Tool for Social Research and Data Analysis. New York: Cengage Learning. 11th edition.

Navarro, Danielle. Learning Statistics with R.

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