Spring 2025 IHP-EMI Introductory Statistics 統計概論 (全英文授課)

IHP-EMI General education: Introductory Statistics

Time: Monday 1510-1800

A405 computer classroom (no food or no drink in the computer classroom. You may walk out to eat or drink any time)

 

 (統計概論,全英文授課)   YouTube play list of this course  

 Please join our course groups/請加入課程群組 

In the groups, the use of English is encouraged, but not be limited.

1. Line group (private)

2. LinkedIn (public): International Honors Program at Kainan University: I-Yuan Chiang's course group      (I encourage students to register a LinkedIn account)

About I-Yuan Chiang/One Dollar


How to contact One Dollar? 

1. LINE/LY me (I am always "hanging" on the internet)--the best way!

2. Email me: iychiang1809@gmail.com

3. My office: B970. The ext.  7970 

YouTube:  My teaching video/live-streaming 阿原直播與教學影片

 YouTube-playlist   of this course


Digitize your notes

Students can buy some tools and use them during the class (or you may use the computer(s) in the A405)

1. Writing tablet

2. Keyboard and mouse for your cell phone (it would be better if you bring your laptop)

a. Bluetooth: about $400  --easy to use. Charging while using. But might not stable

b. Wireless ($500 - 1000) with an OTG connector ($50)--stable!

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 Attendance: According to the KNU policy, faculty members should take roll calls every week. Thus, I will do it every week.


One Dollar's teaching policy

1. Only encouragement, no punishment, no enforcement. 

2. Respect how much effort student want to make for this course, and help them.


Grading policy

(I will determine the details in the beginning of the semester) 

(Students do not need to select groups. One Dollar will)

Group A: (required) want to pass this class (up to 80):

1. At least  2/3 attendance (10%)

2. Two open-book exams (70%) (no mater the scores are high or low, you must take these two exams)

a. Midterm: Week09 on 4/19 (April 19)

b. Final: Week17 on 6/09 (June 09)

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*Students who accomplish "all works" in Group B will have higher probability to get One Dollar's letter of recommendation  (if you need)  

Group B: (optional ) Students who  want to pursue higher scores (the other 20%)

1. Fulfill the requirements if the Group A
2.  Class assignment or notes on public website or homepage (digital notes)(20%) (please report your student number and website.    And  here is the students' notes from last year.

Students can use their homepage/website (if they already have that)
3. Creative works, such as publish academic poster(s) or book(s)

 

About the exams:

Students are allowed to use all kinds of materials and/or tools during the exam, including books, notes, scientific calculator(s), computer(s), and cell phone(s). 

But, students cannot communicate/discuss (either online or on-site) with other students or people during the exams.    

I will try (but no guaranty) to prepare mock exams prior to the exams. Or you can check old exams and explanations to the questions on my YouTube channel  

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Aims of this course

Statistics is a fundamental and powerful tool for business, social science, biology, and other fields. This course will cover some topics, including data descriptions, function plotting, data plotting, types of distribution, estimates, hypothesis tests, and regression. This course helps students learn basic concepts and practical plotting skills in statistics for higher courses.


Textbooks, materials, and resources

Visual Statistics Use R! (Alexey Shipunov, 2021) (open textbook)

Statistics Using Technology (2nd edition, Kathryn Kozak, 2021) (open textbook)

Introductory Statistics (David Lane, 2023. 602 pages) (open textbook)

Dr. Chiang edits sample questions for the practice session


Software/Apps for statistical analysis and plotting

*Google spreadsheet (free to use)

*LibreOffice Calc (free to use)

*R (free to use)

*Python and Matplotlib (free to use)

*Cell phone APPs


Scientific calculator or APPs/computer

Students are encouraged to have a scientific calculator/cell phone APPs/computer for the practice session.

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Some useful open textbooks and materials

An Open Guide to Data Structures and Algorithms

Social Data Analysis--541 pages. 2023

Prealgebra via Python Programming: First Steps to Perform Large Scale Computational Tasks in the Sciences and Engineerings

An Intuitive, Interactive, Introduction to Biostatistics  2023

Data Analysis in the Psychological Sciences: A Practical, Applied, Multimedia Approach 2023

Basic Engineering Data Collection and Analysis  2001

Big Data for Epidemiology: Applied Data Analysis Using National Health Surveys   2022

Statistics for Research Students  2022 (109 pages. No good for undergraduate students. This book is like a reminder to graduate students)

Introduction to Applied Statistics for Psychology Students  2022