Type of Credit: Required
Credit(s)
Number of Students
本課程主要是介紹統計學的理論、計算方法及在商業的應用。所使用的教科書為"Anderson et al., 2019, Statistics for Business & Economics (14th Edition),Cengage Learning Ltd. (ISBN: 0357114485)."。另搭配一本中文書為參考書目:「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)」。下學期的主題包含: 假設檢定，母體變異數的推論、多重比例比較、獨立性檢定、實驗設計、變異數分析、迴歸分析、無母數方法等等。課堂上以教師講述(Lecture)教學法為主。除了教授統計學的理論之外，還會使用R軟體進行上述主題的資料分析及報表的解釋。(註: 每週課程進度與作業要求，會依實際授課狀況做調整)
This course primarily introduces the theory and computational methods of statistics, along with its application in business. The textbook used is "Anderson et al., 2019, Statistics for Business & Economics (14th Edition), Cengage Learning Ltd. (ISBN: 0357114485)." Additionally, a Chinese book is also used as a 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)」 The topics for the next semester include hypothesis testing, inference on population variance, multiple proportion comparisons, independence tests, experimental design, analysis of variance, regression analysis, and non-parametric methods, among others. The teaching method in the classroom is primarily lecture-based. In addition to teaching the theory of statistics, data analysis and report interpretation for the above topics will also be conducted using R software. (Note: The weekly course progress and homework requirements will be adjusted according to the actual teaching situation.)
能力項目說明
The teaching objectives of this course are to enable students to possess the following abilities after completing it: (1) Understand and explain the specialized terminology used in various application areas of statistics. (2) Comprehend the main theories behind independence tests and goodness-of-fit tests. (3) Understand the principles of experimental design, analysis of variance, regression analysis, and non-parametric methods, and be able to apply them to real-world problems to make statistical inferences. (4) Conduct data analysis for the topics taught this semester using statistical software (R). (5) Interpret the reports and charts generated by statistical software (R).
| 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 |
基本概念復習 |
Review |
Lecture |
3 |
3 |
|
2 |
假設檢定 |
Ch9: Hypothesis Tests |
Lecture |
3 |
5 |
|
3 |
兩母體平均數及比例推論 | Ch10: Inference about Means and Proportions with Two Populations |
Lecture |
3 |
5 |
|
4 |
母體變異數推論 |
Ch11: Inference about Population Variances |
Lecture |
3 |
5 |
|
5 |
多重比例比較 |
Ch12: Comparing Multiple Proportions，Test of Independence and Goodness of Fit |
Lecture |
3 |
3 |
|
6 |
獨立性檢定、適合度檢定 |
Ch12: Test of Independence and Goodness of Fit |
Lecture |
3 |
5 |
|
7 |
變異數分析 |
Ch13: Analysis of Variance. |
Lecture |
3 |
5 |
|
8 |
統計軟體演示(I) |
|
Discussion E-learning |
3 |
5 |
|
9 |
期中考 |
Ch9-Ch13 |
期中考 |
3 |
3 |
|
10 |
簡單線性迴歸 |
Ch14: Simple Linear Regression. |
Discussion HW(4) |
3 |
5 |
|
11 |
簡單線性迴歸 |
Ch14: Simple Linear Regression. |
Lecture |
3 |
5 |
|
12 |
多重迴歸分析 |
Ch15: Multiple Regression |
Lecture |
3 |
3 |
|
13 |
多重迴歸分析 |
Ch15: Multiple Regression |
HW(6) |
3 |
5 |
|
14 |
迴歸模型建立 |
Ch16: Regression Analysis: Model Building |
Lecture |
3 |
5 |
|
15 |
時間序列分析(選) |
Ch17: Time Series Analysis and Forecasting (Optional) |
小考(2), HW(7) |
3 |
3 |
|
16 |
無母數方法(選) |
Ch18: Nonparametric Methods (Optional) |
Lecture |
3 |
5 |
|
17 |
統計軟體演示(II) |
Demonstration using R (II) |
Discussion E-learning HW(8) |
3 |
5 |
|
18 |
期末考 |
Ch14-Ch18 |
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!) (The progress is subject to modifications at any time based on the actual progress of the teaching)