1.作業 Homework ：30% 2.期中考 Mid-Term Exam：30% 3.期末考 Final Exam：40%
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.)】
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、貝式定理、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，並教授R語言，但不排持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.
1.課堂參與 Class Participation ：10% 2.作業 Homework：20% 3.期中考 Mid-Term Exam.：30% 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.
Auther
Title
Publisher
Year of publish
Publisher place
ISBN#
1
Anderson, Sweeney, and Williams
Statistics for Business and Economics, 14th. ed.
THOMSON
2020
USA
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
Week
Date
Content and topic
1
2020/09/06~2020/09/12
09/09 Chapter 1～3 Data and Statistics, Descriptive Statistics
2
2020/09/13~2020/09/19
09/16 Chapter 3～4 Probability Theory
3
2020/09/20~2020/09/26
09/23 Chapter 5 Discrete Probability Distribution
4
2020/09/27~2020/10/03
09/30 Chapter 5～6 Discrete/Continuous Probability Distribution
5
2020/10/04~2020/10/10
10/07 Chapter 6 Continuous Probability Distribution
6
2020/10/11~2020/10/17
10/14 Chapter 6～7 Sampling and Sampling Distribution