國立中山大學 106學年度第1學期 課程教學大綱

National Sun Yat-sen University 106Academic year1st Semester Course syllabus

中文名稱
Course name(Chinese)

統計與計量方法

課號
Course Code

IB502

英文名稱
Course name(English)

STATISTICS AND QUANTITATIVE METHODS

課程類別
Type of the course

講授類

必選修
Required/Selected

選修

系所
Dept./faculty

管理學院國際經營管理碩士學程

授課教師
Instructor

李澄賢    

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

         本課程教學大綱已提供完整英文資訊(本選項僅供統計使用,未提供完整英文資訊者,得免勾記)【Provide information of course syllabus in English.(This is for statistical use only. For those who do not provide information of course syllabus in English, do not check this field.)】

This course will introduce students to data analysis and statistical inference for both continuous and categorical variables. Students will learn to describe data (quantitatively and graphically), to select and compute statistical estimates and conduct hypothesis tests, to use computer packages to perform parameter or model estimation, and to interpret and report the results of data analysis. General topics covered in class include: Descriptive Statistics, Probability & Sampling Distributions, Statistical Inference, Hypothesis Testing, Correlation, and Regression.

課程目標 Objectives

         1. Be familiar with basic statistical concepts, such as standard errors, confidence intervals
2. Be familiar with inferential statistics for both continuous and categorical variables
3. Be familiar with the general linear model applications
4. Be able to use the estimation and hypothesis testing procedures, and present a substantive interpretation of the analytic results
5. Be able to estimate and test hypotheses about the parameters in general linear models
6. Be able to set up and execute the statistical software program SPSS to perform data analysis using different analytical techniques

授課方式 Teaching methods

         Lecture & Discussion




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.Assignments40%
2.Class Participation & Discussion20%
3.Quizzes15%
4.Final Exam25%

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

         Required Textbook
1. Jaggia, S., & Kelly, A. (2016). Business Statistics (2nd edition). New York, NY: McGraw-Hill.
Recommended Readings
2. Doane, D. P., & Seward, L. E. (2016). Applied Statistics in Business and Economics (5th edition). New York, NY: McGraw-Hill.
3. Ott, R. L., & Longnecker, M. (2015). An Introduction to Statistical Methods and Data Analysis (7th edition). Belmont CA: Brooks/Cole.
4. Raykov, T., & Marcoulides, G. A. (2013). Basic Statistics: An Introduction with R. Lanham, MD: Rowman & Littlefield Publishers.
Supplemental Materials
Supplemental materials will be given (if any) and students are expected to read them before class.





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
12017/09/18~2017/09/24Course Overview
22017/09/25~2017/10/01Descriptive Statistics
32017/10/02~2017/10/08National Holiday
42017/10/09~2017/10/15Introduction to SPSS
52017/10/16~2017/10/22Introduction to Probability
62017/10/23~2017/10/29Sampling Distributions & Confidence Intervals
72017/10/30~2017/11/05Hypothesis Testing
82017/11/06~2017/11/12Inference for Population Mean(s)
92017/11/13~2017/11/19Analysis of Variances
102017/11/20~2017/11/26Analysis of Variances
112017/11/27~2017/12/03Categorical Data: Inference for Population Proportion(s)
122017/12/04~2017/12/10Categorical Data: Chi-square Tests
132017/12/11~2017/12/17Correlation
142017/12/18~2017/12/24Simple Linear Regression
152017/12/25~2017/12/31Simple Linear Regression
162018/01/01~2018/01/07Multiple Regression
172018/01/08~2018/01/14Materials Review
182018/01/15~2018/01/21Final Exam

課業討論時間 Office hours

         時段1:
時間:星期二12:00-14:00
地點:管3036
時段2:
時間:星期三10:00-12:00
地點:管3036

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課堂活動與評量方式
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
※系所所學生專業能力
1.Students will be aware of ethical issues in business.           
2.Students will be able to perform effectively in teamwork.VVV V V    
3.Students will demonstrate their skills in a foreign language.           
4.Students will be able to apply analytical tools for problem-solving.VVV V V    
5.Students will acquire advanced knowledge in management.           
※全校學生基本素養與核心能力
1.表達與溝通能力。V V V V    
2.探究與批判思考能力。VVV V V    
3.終身學習能力。           
4.倫理與社會責任。           
5.美感品味。           
6.創造力。           
7.全球視野。           
8.合作與領導能力。           
9.山海胸襟與自然情懷。           

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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