Type of Credit: Required
Credit(s)
Number of Students
This course primarily introduces the theory and computation methods of statistics, as well as their applications in business. The textbook used is "Statistics for Business & Economics (14th Edition) by Anderson et al., 2019, published by Cengage Learning Ltd. (ISBN: 0357114485)." It is supplemented with a Chinese reference book: "Modern Statistics (2nd Edition) by Chen Zhengcang and Lin Huiling, published on July 17, 2020, by Shuangye Bookstore. (ISBN: 9789579096805)". Topics covered in the this semester included: descriptive statistics, statistical charts, (discrete and continuous) probability distributions, sampling distributions, (point and interval) estimation, hypothesis testing, and so forth. The primary method of instruction is lecture-based. In addition to teaching statistical theory, we will also use R software for calculations of statistical quantities and probability distributions, creating statistical charts, and interpreting test reports. (Note: The weekly course progress and homework requirements will be adjusted according to the actual teaching situation.) (本課程為英語授課)
能力項目說明
The learning objectives of this course are such that upon completion, students should be able to demonstrate the following abilities: (1) Understand and explain specific terminologies in statistics. (2) Comprehend the major theories of probability distribution and sampling distribution in statistics. (3) Understand the principles of hypothesis testing and be able to apply them to real-world problems, making statistical inferences. (4) Conduct descriptive statistics, calculate probabilities, execute hypothesis tests, and draw statistical graphs using statistical software. (5) Interpret the implications of reports and charts generated by statistical software.
| 教學週次Course Week | 彈性補充教學週次Flexible Supplemental Instruction Week | 彈性補充教學類別Flexible Supplemental Instruction Type |
|---|---|---|
|
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 |
學生學習投入時間 Student workload expectation |
|
|
課堂講授 In-class Hours |
課程前後 Outside-of-class Hours |
||||
|
1 |
資料與統計 |
Ch1: Data and Statistics. |
Lecture |
3 |
3 |
|
2 |
敘述統計 |
Ch2, Ch3: Descriptive Statistics |
Lecture |
3 |
5 |
|
3 |
機率介紹(I) |
Ch4: Introduction to Probability |
Lecture |
3 |
5 |
|
4 |
機率介紹(II) |
Ch4: Introduction to Probability |
Lecture |
3 |
5 |
|
5 |
離散型機率分佈(I) |
Ch5: Discrete Probability Distributions |
Lecture |
3 |
3 |
|
6 |
離散型機率分佈(II) |
Ch5: Discrete Probability Distributions |
Lecture |
3 |
5 |
|
7 |
連續型機率分佈(I) |
Ch6: Continuous Probability Distributions |
Lecture |
3 |
5 |
|
8 |
統計軟體演示(I) |
Demonstration using R (I) |
Discussion E-learning |
3 |
5 |
|
9 |
期中考 |
Ch1-Ch5 |
期中考 |
3 |
3 |
|
10 |
連續型機率分佈(II) |
Ch6: Continuous Probability Distributions |
Discussion HW(4) |
3 |
5 |
|
11 |
抽樣分佈(I) |
Ch7: Sampling and Sampling Distributions. |
Lecture |
3 |
5 |
|
12 |
抽樣分佈(II) |
Ch7: Sampling and Sampling Distributions |
Lecture |
3 |
3 |
|
13 |
區間估計 |
Ch8: Interval Estimation |
HW(6) |
3 |
5 |
|
14 |
假設檢定(I) |
Ch9: Hypothesis Tests |
Lecture |
3 |
5 |
|
15 |
假設檢定(II) |
Ch9: Hypothesis Tests |
小考(2) |
3 |
3 |
|
16 |
統計推論: 兩母體平均數差的假設檢定 |
Ch10: Inference about Means and Proportions with Two Populations |
Lecture |
3 |
5 |
|
17 |
統計推論: 兩母體比例差的假設檢定, 統計軟體演示(II) |
Ch10: Inference about Means and Proportions with Two Populations 統計軟體演示(II) |
Discussion E-learning HW(8) |
3 |
5 |
|
18 |
期末考 |
Ch6-Ch10 |
期末考 |
3 |
3 |
quiz (30%), midterm exam (30%), final exam (30%), attendance (10%),
Homework (0%)，TA (0%)，Bonus exam (extra 20%)
Textbook: Anderson et al., 2019, Statistics for Business & Economics (14th Edition), Cengage Learning Ltd. (ISBN: 0357114485).
Reference: 陳正倉, 林惠玲, 現代統計學(二版), 2020/07/17, 雙葉書廊出版社. (ISBN: 9789579096805)
- Course website: http://www.hmwu.idv.tw - 注意: 每周課教學內容及進度會依實際教學狀況隨時修正調整。(不便之處尚請見諒!)