SemesterFall Semester, 2023
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; Homework



3



Basic Descriptive Statistics I



Ch. 2



Lecture; In-class Discussion; Homework



4



Descriptive Statistics: Measures



of Central Tendency



Ch. 3



Lecture; In-class Discussion; Homework



5



National Day



Holiday



 



6



Descriptive Statistics: Measures of Dispersion



Ch. 4



Lecture; In-class Discussion; Homework



7



Introduction to R: The 1st Lesson



 



Lecture; In-class Discussion



8



The Normal Curve



Ch. 5



Lecture; In-class Discussion; Homework



9



Introduction to Inferential Statistics: Sampling and the Sampling Distribution



Ch. 6



Lecture; In-class Discussion; Homework



10



R: The 2nd Lesson



 



 



11



The 1st Quiz and Review



 



Review



12



Estimation Process



Ch. 7



Lecture; In-class Discussion; Homework



13



Hypothesis Testing I: The One-Sample Case



Ch. 8



Lecture; In-class Discussion; Homework



14



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



Ch. 8



Lecture; In-class Discussion; Homework



15



Hypothesis Testing II: The Two-Sample Case



Ch. 9



Lecture; In-class Discussion; Homework



16



R project



 



Group project activity



17



R project



 



Group project activity



18



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 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.



 



Grading



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. 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
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