國立中山大學 110學年度第1學期 課程教學大綱

National Sun Yat-sen University 110Academic year1st Semester Course syllabus

中文名稱
Course name(Chinese)

 統計學（一）

課號
Course Code

 GEAI1424

英文名稱
Course name(English)

 STATISTICS (I)

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
　　　　　　　　 因應疫情計，本課程從第一次上課（9/27，週一，下午1:10-4:00）起，就要採用Google Meet進行遠距教學，每一次上課前30分鐘會將google meet網址公布在網路大學本課程的「課程公告板」（按右上方『進入教室』就可看到）。
或是每一次上課前（包括第一次上課），請到下列臉書社團：110中山企管統計有夠難
網址： https://reurl.cc/ZjQVAg 以取得該次上課的google meet 網址
遠距教學將持續至疫情緩和可以實體方式進行教學為止，每一週我將會在課堂上宣布下一週的上課方式，或在facebook社團動態宣布。
請注意：
（-1）有事可以用email和我聯繫fengleelin@gmail.com
（0）本課程課綱第一次上課當天會公布，稍後會傳到facebook社團上。
（1）每位同學要有教科書，校內「麗文書局」已有準備，上課前兩天就會上架開賣。用電子書或舊書者自行設法。
（2）第一次上課當天會宣布本班的助教，他的聯絡方式，以及facebook社團。
（3）需要快速聯絡時，以facebook為主，也可通過助教快速反應，或以我的email聯繫。
這是管理學院大學部學生的第一門統計學課程，是諸多管理領域專業課程的必備先修課程。由於本課程可能是你四年大學部管理課程唯一的數量課，故對於你未來的研究所教育潛在影響甚大，也關係到你未來在實務工作上的數量分析能力。為訓練學生將統計知識運用於管理問題，本課程欲涵蓋範圍包括資料處理、隨機變數、機率分佈、抽樣分配、區間估測、假設檢定、兩母體統計推測、適合度和獨立性檢定等基礎統計學知識。
This course, the first half of the one-year-long statistics study, is the first quantitative class commonly required for students majoring on business management. It will, as anticipated, be the prerequisite for the other, advanced, quantitative studies in the various managerial areas. While it may be the only quantitative course to encounter for some students in the college years, all students will find it bear significant influences on courses dealing with empirical analysis, as well as on the real-world business practices in their career development. The course thus carries the undeniable mission to provide the basic skills of statistical analysis needed for business management purposes. In order to serve the purposes as depicted, the topics to cover in the course includes: descriptive data analysis, probability theory, random variables, discrete and continuous probability distributions, sampling distribution, interval estimation, hypothesis testing, two-population statistical inferences, comparing multiple proportions, tests of independence and goodness of fit.
Homework exercise, written and/or computer software printout, is collected after each chapter is finished.
In terms of exams, there will be one Mid-Term exam covering up to where the class progresses up to; and, the Final exam, which will cover all the material taught through out the semester.
















課程目標 Objectives
　　　　　　　　 傳授基本統計學知識給商管學院學生，並將教授R語言，但未排除學生使用其他統計軟體。學過此課程之後，同學們將可熟悉如何對管理問題建立假設檢定的分析架構，以及學會管理問題的統計分析方法。從這門課中，學生不只學會管理數量領域的表達與溝通能力，並且自備了終身學習統計學的基本能力，以及建立探究和批判管理領域數量問題的基礎能力。
The objective of the course is to provide students with the introductory level statistical knowledge for which students need to do hand-written and/or computer software exercises on problems in each chapter. R language is to be taught, but not excluding others, as the primary statistics software used in the course. Students finished with the course will be equipped with knowledge and skills for building analytical frames for probabilistic thinking, statistical estimation, and hypothesis testing in the cases of business applications. The statistical knowledge learned from the course will arm them with quantitative capabilities not only to conduct academic communications but also to proceed in their life-long pursuit of business management career, probably enabling them to establish basis for critical thinking of statistics issues.

















授課方式 Teaching methods
　　　　　　　　 Lecturing 講授

















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.期中考筆試 Mid-Term Written Exam.：20%
3.期中考R語言考試 Mid-Term R-Language Exam.：20%
4.期末考 Final Exam.：40%

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
12021/09/19~2021/09/25課程尚未開始，第一次上課在9/27 The 1st class is set at 9/27.
22021/09/26~2021/10/0209/27 Chapter 1～3 Data and Statistics, Descriptive Statistics
32021/10/03~2021/10/0910/04 Chapter 3 Descriptive Statistics
42021/10/10~2021/10/1610/11 Chapter 5 Discrete Probability Distribution
52021/10/17~2021/10/2310/18 Chapter 5～6 Discrete/Continuous Probability DistributionChapter 6 Continuous Probability Distribution
62021/10/24~2021/10/3010/25 Chapter 6～7 Sampling and Sampling Distribution
72021/10/31~2021/11/0611/01 Chapter 7 Sampling Distribution
82021/11/07~2021/11/1311/08 Chapter 8 Interval Estimation
92021/11/14~2021/11/2011/15 期中考 Mid-Term Exam
102021/11/21~2021/11/2711/22 Chapter 8 Interval Estimation
112021/11/28~2021/12/0411/29 Chapter 9 Hypothesis Testing
122021/12/05~2021/12/1112/06 Chapter 9 Hypothesis Testing
132021/12/12~2021/12/1812/13 Chapter 9 Hypothesis Testing
142021/12/19~2021/12/2512/20 Chapter 10 Two-Population Statistical Inference
152021/12/26~2022/01/0112/27 Chapter 10 Two-Population Statistical Inference
162022/01/02~2022/01/0801/03 Chapter 11 Inferences on Population Variances
172022/01/09~2022/01/1501/10 期末考 Final Exam
182022/01/16~2022/01/2201/17 彈性學習 Field 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 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 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 VV 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

回上一頁