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
