SemesterFall Semester, 2025
DepartmentFreshman Class of BA in Global Governance
Course NameStatistics(Ⅰ)
InstructorKUAN PING-YIN
Credit3.0
Course TypeRequired
Prerequisite
Course Objective
Course Description
Course Schedule












































































































Week



Topic



Content and Reading Assignment



Teaching Activities and Homework



1



Course Introduction



 



Lecture



2



Statistics and Social Research



Ch. 1



Lecture; In-class discussion; R practice; Homework



3



Basic Descriptive Statistics I



Ch. 2



Lecture; In-class discussion; R practice; Homework



4



Descriptive Statistics: Measures



of Central Tendency



Ch. 3



Lecture; In-class discussion; R practice; Homework



5



Descriptive Statistics: Measures of Dispersion



Ch. 4



Lecture; In-class discussion; R practice; Homework



6



The Normal Curve



Ch. 5



Lecture; In-class discussion; R practice; Homework



7


Introduction to R: The 1st Lesson

 



Lecture; In-class discussion; R practice



8



The 1st Quiz and Review



 



Review



9



Introduction to Inferential Statistics: Sampling and the Sampling Distribution



Ch. 6



Lecture; In-class discussion; R practice; Homework



10



R: The 2nd Lesson



 



R practice



11



Estimation Process



Ch. 7



Lecture; In-class discussion; Homework



12



Hypothesis Testing I: The One-Sample Case



Ch. 8



Lecture; In-class discussion; Homework



13



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



Ch. 8



Lecture; In-class discussion; Homework



14



Hypothesis Testing II: The Two-Sample Case



Ch. 9



Lecture; In-class discussion; Homework



15



R project



 



Group project activity



16



Final Exam



 



 



Teaching Methods
Teaching Assistant

TBA


Requirement/Grading

Attendance:



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 fall behind. You are also expected to contribute to the class by asking questions, participating in class discussions, and collaborating 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 be helpful if you plan 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 gain a general understanding of it and review it after class to ensure a deeper comprehension of the materials.



Homework Assignments:



Learning by doing is crucial for understanding 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 one-week group project at the end of the semester (Week 15). 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.



Honor Code:



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



Grading



Homework Assignments: 55%



Tests (quizzes, including group R project and final): 35%



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. https://www.tsanghai.com.tw/book_detail.php?c=156&no=4403#p=1



Navarro, Danielle. Learning Statistics with R. https://learningstatisticswithr.com/


Urls about Course
Lecture Notes (in Chinese): https://drive.google.com/file/d/1cKY5SwnAmgbodnoupuspuX5oxZvxJG0b/view
Attachment