週次
Week  課程主題
Topic  課程內容與指定閱讀
Content and Reading Assignment  教學活動與作業
Teaching Activities and Homework  

1  (Sep. 12)
What is Statistics.
Describing Data: Frequency Tables and Distributions, Graphical Presentation  Chapter 1 and 2  Lecture  
2  (Sep. 19)
A Survey of Probability Concepts.
Discrete random variables and probability distributions (Random variable, mean, variance).  Chapter 4 and 5  Lecture  
3  (Sep 26)
Discrete random variables and probability distributions (binomial, hypergeometric and Poisson distributions)  Chapter 5  Lecture  
4  (Oct. 3) Quiz 1
Continuous random variables and probability
distributions (Uniform, normal)  Chapter 6  Quiz 1
Lecture  
5  (Oct. 10)
National holiday    
6  (Oct. 17)
Continuous random variables and probability
distributions (normal, exponential distributions)  Chapter 6  HW
Lecture  
7  (Oct. 24)
Sampling methods and the Central Limit Theorem (Sampling methods, sampling distribution, the CLT)  Chapter 7  HW
Lecture  
8  (Oct. 31)
Onesample hypothesis tests (Onetailed and twotailed tests, testing for a population mean)  Chapter 9 
HW
Lecture  
9  (Nov. 7)
Midterm Exam    
10  (Nov. 14)
Onesample hypothesis tests (Onetailed and twotailed tests, testing for a population mean)  Chapter 9  HW
Lecture  
11  (Nov. 21) Quiz 2
More on hypothesis tests (concept, computing power)  Chapter 9  Quiz 2
HW
Lecture  
12  (Nov. 28)
More on hypothesis tests  Chapter 9  Lecture  
13  (Dec. 5)
Estimation and confidence intervals (Point estimation, confidence intervals)  Chapter 8  HW
Lecture  
14  (Dec. 12)
Estimation and confidence intervals (confidence intervals for population mean and proportion, sample size)  Chapter 8  HW
Lecture  
15  (Dec. 19) If we cannot finish Chap 8 on Week 14, we will still have classes in the classroom.
彈性學習周 (online learing)
Describing Data: Numerical Measures (Location and dispersion measures)  Chapter 3  video online (videos will be announced on Moodle)  
16  (Dec. 26)
彈性學習周 (online learing)
Describing Data: Displaying/Exploring Data (Useful plots, measures of position, skewness)  Chapter 3  video online (videos will be announced on Moodle)  
17  (Jan. 2, 2023)
Final Exam    
18  (Jan, 9)
Final Exam
Statistical Software Introduction (SPSS or R) (and Real Data Analysis)   Lecture  