國立中山大學109學年度第1學期統計與計量方法課程大綱

國立中山大學 109學年度第1學期課程教學大綱

National Sun Yat-sen University 109Academic 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

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：Since COVID-19, if distance learning is necessary, the teaching methods would adjust as follows:

同步遠距【透過網路直播技術，同時進行線上教學，得採Microsoft Teams、Adobe connect等軟體進行】
同步遠距含錄影【透過網路直播技術，同時進行線上教學並同時錄影，課程內容可擇日再重播，得採Microsoft Teams、Adobe connect等軟體進行】
非同步遠距【課堂錄影或錄製數位教材放置網路供學生可非同時進行線上學習，得採EverCam、PPT簡報錄影、錄音方式進行】
實作類課程，經評估無法採遠距課程教學，後續復課後密集補課

★遠距教學軟體操作說明連結

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：Since COVID-19, if distance learning is necessary, the evaluation would adjust as follows:

1.Assignments：40%
2.Case Discussion：10%
3.Group Project：10%
4.Quizzes：15%
5.Final Exam：25%

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.Assignments：40%
2.Case Discussion：10%
3.Group Project：10%
4.Quizzes：15%
5.Final Exam：25%

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. (2019). Business Statistics (3rd 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.

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
Week	Date	Content and topic
1	2020/09/06~2020/09/12	Course Overview
2	2020/09/13~2020/09/19	Descriptive Statistics
3	2020/09/20~2020/09/26	Introduction to SPSS
4	2020/09/27~2020/10/03	National Holiday
5	2020/10/04~2020/10/10	Introduction to Probability I
6	2020/10/11~2020/10/17	Introduction to Probability II
7	2020/10/18~2020/10/24	Sampling Distributions & Confidence Intervals
8	2020/10/25~2020/10/31	Hypothesis Testing
9	2020/11/01~2020/11/07	Midterm Week
10	2020/11/08~2020/11/14	Inference for Population Mean(s)
11	2020/11/15~2020/11/21	Analysis of Variances
12	2020/11/22~2020/11/28	Categorical Data: Inference for Population Proportion(s)
13	2020/11/29~2020/12/05	Categorical Data: Chi-square Tests
14	2020/12/06~2020/12/12	Correlation
15	2020/12/13~2020/12/19	Simple Linear Regression I
16	2020/12/20~2020/12/26	Simple Linear Regression II
17	2020/12/27~2021/01/02	Group Presentations & Review
18	2021/01/03~2021/01/09	Final Exam

課業討論時間 Office hours

時段1 Time period 1:
時間 Time：星期二13:00~15:00
地點 Office/Laboratory：CM4081
時段2 Time period 2：
時間 Time：星期三10:00~12:00
地點 Office/Laboratory：CM4081

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.具備專業倫理觀與社會責任實踐力。 1.Students will be aware of issues in business ethics and will carry out their social responsibilities.

2.具備專業管理知能。 2.Students will develop advanced knowledge in the management of business.

3.具備溝通及團隊合作能力。 3.Students will be able to communicate and perform effectively in teamwork.

4.具備分析與解決問題的能力。 4.Students are able to develop logical thinking and apply analytical tools for problem-solving.

5.具備國際觀之新思維。 5.Students are able to possess global vision.

※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 learning

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