國立中山大學 110學年度第2學期 課程教學大綱

National Sun Yat-sen University 110Academic year Course syllabus

中文名稱
Course name(Chinese)

 統計學（二）

課號
Course Code

 GEAI1418

英文名稱
Course name(English)

 STATISTICS (II)

課程類別
Type of the course

 講授類

必選修
Required/Selected

必修

系所
Dept./faculty

 跨院選修(管)

授課教師
Instructor

 林峰立    

學分
Credit

 3

因應嚴重特殊傳染性肺炎(武漢肺炎)，倘若後續需實施遠距授課，授課方式調整如下：
　　　　　　　　 尚未建立傳染性肺炎(武漢肺炎)授課方式調整

因應嚴重特殊傳染性肺炎(武漢肺炎)，倘若後續需實施遠距授課，評分方式調整如下：

　　　　　　　　 尚未建立傳染性肺炎(武漢肺炎)課程評分方式﹝評分標準及比例﹞

課程大綱 Course syllabus
　　　　　　　　 本課程在統計學（一）的基礎上，探討變異數分析、簡單回歸、多重回歸、迴歸模型建立、時間序列、無母數分析、統計品質管控等課題。本學期統計課內容是統計應用的核心，例如變異數分析和迴歸分析和統計品質管控等，這些都是管理領域非常重要的數量工具。所以，學過這門課之後，同學們將有三個主要成效：（1）學會統計學的核心內容（2）使用統計學工具分析管理問題（3）建立統計學在管理領域上的視野。這三個作用將在同學們未來的學術深造或職涯發展上有很大助益，因為統計學是管理者不可缺少的數量工具。

This course, a second half of the one-year-long journey of statistics, aims to explore subjects including ANOVA, Simple Regression, Multiple Regression, Regression Model Building, Time Series, Non-Parametric Analysis, Statistical Quality Control, and so on. These subjects constitute the core statistical applications used as important quantitative tools in management problems. They will also form the basis of big data analysis in business in seeking the opportunities and trends in the future. As a result of taking this course, students will have a comprehensive grasp of statistical tools, which will enhance their analytical skills in dealing with business problems particularly to encounter in the era of big data and AI. In a nutshell, this course represents an influential step toward students’ prospective academic pursuit or real-world career development, since statistics is what one cannot afford not to have in the face of managerial problem solving.











課程目標 Objectives
　　　　　　　　 一、學習統計學的核心課題
二、建立統計學在管理問題分析上的初階能力和應用視野
三、學習使用統計軟體MINITAB或Excel
1. To learn the core concepts, theories, and methods of introductory business statistics
2. To build encompassing view and foundational capabilities of the statistical analysis in business management problems
3. To learn how to use statistical computer software such as SPSS and Excel.












授課方式 Teaching methods
　　　　　　　　 講授 Lecturing












評分方式﹝評分標準及比例﹞Evaluation (Criteria and ratio)等第制單科成績對照表 letter grading reference

　　　　　　　　
1.作業 Homework：20%
2.期中筆試 Mid-term Exam：20%
3.R語言考試 R Language Exam.：20%
4.期末報告 Final Report .：20%
5.期末考 Final Exam：20%

參考書/教科書/閱讀文獻 Reference book/ textbook/ documents
〔請遵守智慧財產權觀念，不可非法影印。教師所提供之教材供學生本人自修學習使用,不得散播及做為商業用途〕
No copies for intellectual property rights. Textbooks provided by the instructor used only for self-study, can not broadcast or commercial use

　　　　　　　　
序號作者書名出版社出版年出版地ISBN#
No.AutherTitlePublisherYear of
publish		Publisher
place		ISBN#
1Anderson, Sweeney, and WilliamsStatistics for Business and Economics, 14th. ed.THOMSON2020USA

彈性暨自主學習規劃 Alternative learning periods
本門課程是否有規劃實施學生彈性或自主學習內容（每1學分2小時）
Is any alternative learning periods planned for this course (with each credit corresponding to two hours of activity)?
否：教師需於「每週課程內容及預計進度」填寫18週課程進度（每1學分18小時之正課內容）。
No：The instructor will include an 18-week course plan in the weekly scheduled progress (each credit corresponds to 18 hours of instruction)
是：教師需於「每週課程內容及預計進度」填寫16週課程內容（每1學分16小時之正課內容），並於下列欄位填寫每1學分2小時學生彈性或自主學習內容。
    Yes：The instructor will include a 16-week course plan in the weekly scheduled progress (each credit corresponds to 16 hours of instruction);the details of the planned alternative learning periods are provided below (each credit corresponds to two hours of activity).

學生彈性或自主學習活動
Alternative learning periods		勾選或填寫規劃內容
Place a check in the appropriate box or provide details		時數
Number of hours
學生分組實作及討論
Group work and discussion
參與課程相關作業、作品、實驗
Participation in course-related assignments, work, or experiments
參與校內外活動（研習營、工作坊、參訪）或競賽
Participation in on- or off-campus activities (e.g., seminars, workshops, and visits) or competitions
課外閱讀
Extracurricular reading
線上數位教材學習
Learning with online digital learning materials
其他（請填寫規劃內容）
Other (please provide details)

每週課程內容及預計進度 Weekly scheduled progress
　　　　　　　　
週次日期授課內容及主題
WeekDateContent and topic
12022/02/13~2022/02/1902/14 Chapter 11 Inferences on Population Variances
22022/02/20~2022/02/2602/21 Chapter 12 Multiple Proportions, Test of Independence and Goodness of Fit.
32022/02/27~2022/03/0502/28 國定假日，停課一次 National Holiday No Class
42022/03/06~2022/03/1203/07 Chapter 13 Analysis of Variance and Experimental Design
52022/03/13~2022/03/1903/14 Chapter 13 Analysis of Variance and Experimental Design
62022/03/20~2022/03/2603/21 Chapter 13 Analysis of Variance and Experimental Design
72022/03/27~2022/04/0203/28 Chapter 14 Simple Linear Regression
82022/04/03~2022/04/0904/04 民族假日，停課一次 Traditional Holiday No Class
92022/04/10~2022/04/1604/11 期中考 Mid-Term Exam
102022/04/17~2022/04/2304/18 Chapter 14 Simple Linear Regression
112022/04/24~2022/04/3004/25 Chapter 14 Simple Linear Regression
122022/05/01~2022/05/0705/02 Chapter 15 Multiple Regression
132022/05/08~2022/05/1405/09 Chapter 15 Multiple Regression
142022/05/15~2022/05/2105/16 Chapter 16 Regression Analysis: Model Building
152022/05/22~2022/05/2805/23 Chapter 16 Regression Analysis: Model Building
162022/05/29~2022/06/0405/30 Chapter 17 Forecasting and Time Series
172022/06/05~2022/06/1106/06 期末考 Final Exam
182022/06/12~2022/06/1806/13 彈性學習 Free Learning and Self Preparation

課業討論時間 Office hours
　　　　　　　　 時段1 Time period 1:
時間 Time：星期二14:00-16:00
地點 Office/Laboratory：管4110
時段2 Time period 2：
時間 Time：星期四14:00-16:00
地點 Office/Laboratory：管4110

系所學生專業能力/全校學生基本素養與核心能力 basic disciplines and core capabilitics of the dcpartment and the university
　　　　　　　　
系所學生專業能力/全校學生基本素養與核心能力
basic disciplines and core capabilities of the department and the university		課堂活動與評量方式
Class activities and evaluation
本課程欲培養之能力與素養 This course enables students to achieve.紙筆考試或測驗 Test.課堂討論︵含個案討論︶ Group discussion (case analysis).個人書面報告、作業、作品、實驗 Indivisual paper report/ assignment/ work or experiment.群組書面報告、作業、作品、實驗 Group paper report/ assignment/ work or experiment.個人口頭報告 Indivisual oral presentation.群組口頭報告 Group oral presentation.課程規劃之校外參訪及實習 Off-campus visit and intership.證照/檢定 License.參與課程規劃之校內外活動及競賽 Participate in off-campus/ on-campus activities and competitions.課外閱讀 Outside reading.
※系所學生專業能力 Basic disciplines and core capabilities of the department
1.基礎的管理知識(general knowledge of business management) 1. General knowledge of business management. VV V       
2.溝通能力與團隊合作(Communication ability and team cooperation) 2. Communication ability and team cooperation.           
3.問題解決能力(Ability of problem solution) 3. Ability of problem solution.VV V       
4.倫理觀與社會責任實踐(Ethics and social responsibilities) 4. Ethics and social responsibilities.           
5.國際觀(Global perspective)? 5. Global perspective.            
※全校學生基本素養與核心能力 Basic disciplines and core capabilities of the university
1.表達與溝通能力。 1. Articulation and communication skills           
2.探究與批判思考能力。 2. Inquisitive and critical thinking abilities           
3.終身學習能力。 3. Lifelong learningVV V       
4.倫理與社會責任。 4. Ethnics and social responsibility           
5.美感品味。 5. Aesthetic appreciation           
6.創造力。 6. Creativity           
7.全球視野。 7. Global perspective           
8.合作與領導能力。 8. Team work and leadership           
9.山海胸襟與自然情懷。 9. Broad-mindedness and the embrace of nature　           

本課程與SDGs相關項目：The course relates to SDGs items:

　　　　　　　　 尚未建立SDGS資料

本課程校外實習資訊: This course is relevant to internship:

　　　　　　　　 本課程無註記包含校外實習

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