課程資訊
課程名稱
統計學一上
Statistics (I)(1) 
開課學期
106-1 
授課對象
資訊管理學系  
授課教師
陳靜枝 
課號
MGT2001 
課程識別碼
700 20111 
班次
09 
學分
3.0 
全/半年
全年 
必/選修
必帶 
上課時間
星期三7,8,9(14:20~17:20) 
上課地點
管二305 
備註
本課程中文授課,使用英文教科書。週三6實習在管院大電腦教室。與盧信銘合授
限本系所學生(含輔系、雙修生)
總人數上限:70人 
Ceiba 課程網頁
http://ceiba.ntu.edu.tw/1061MGT2001_09_Stat1 
課程簡介影片
 
核心能力關聯
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課程概述

Solving statistical problems begins with a problem and data. The ability to select the right method by problem objective and data type is a valuable tool for business. This class emphasizes applications and fundamental concepts of statistics as well as provides a practical orientation that teaches students how to identify the correct method, calculate the statistics, and properly interpret the results in the context of the question or decision at hand. Since business decisions are driven by data, students will leave this course equipped with the tools they need to make effective, informed decisions in all areas of the business world. 

課程目標
The students will learn not only the algorithms and techniques used to solve related problems, but also the real-world applications that adopt these methods. The students are encouraged to utilize computers in every respect of this class. Computer software is available for this class. 
課程要求
Homework will be assigned through the term and will due the following week. No late homework will be accepted. Students must turn in their own homework.
Homework will be assigned through the term and will due the following week. No late homework will be accepted. Students must turn in their own homework.
Form each group with 5 to 8 persons. Select a case from the textbook from chapter 1 through chapter 12. Prepare a 15 minutes presentation. Turn in a report less than 10 pages. The report will be due on the day of presentation.
Both mid-term and final exams will be in-class, three-hour, and open-book. Each student will be provided a PC in the exams. No NB is allowed. No discussion is allowed in exams. Cheating will result in severe penalty. 
預期每週課後學習時數
 
Office Hours
 
指定閱讀
待補 
參考書目
Managerial Statistics by Keller (Taiwan Edition) 
評量方式
(僅供參考)
 
No.
項目
百分比
說明
1. 
Final Exam (Jan. 10) 
35% 
Final exam will be in-class, three-hour, and open-book. Each student will be provided a PC in the exams. No NB is allowed. No discussion is allowed in exams. Cheating will result in severe penalty. 
2. 
Mid-term Exam (Nov. 8) 
35% 
Mid-term Exam will be in-class, three-hour, and open-book. Each student will be provided a PC in the exams. No NB is allowed. No discussion is allowed in exams. Cheating will result in severe penalty. 
3. 
Case Presentation (Jan. 3) 
15% 
Form each group with 5 to 8 persons. Select a case from the textbook from chapter 1 through chapter 12. Prepare a 15 minutes presentation. Turn in a report less than 10 pages. The report will be due on the day of presentation. 
4. 
Homework  
15% 
Homework will be assigned through the term and will due the following week. No late homework will be accepted. Students must turn in their own homework. 
 
課程進度
週次
日期
單元主題
第1週
09/13/2017  Introduction
Chapter 1: What is Statistics?
Introduction to R and RSAND 
第2週
09/20/2017  Chapter 2: Graphical Descriptive Techniques I
Chapter 3: Graphical Descriptive Techniques II 
第3週
09/27/2017  Chapter 4: Numerical Descriptive Techniques 
第4週
10/04/2017  Day off (August Moon Festival) 
第5週
10/11/2017  Chapter 4: Numerical Descriptive Techniques (Continued)
Chapter 6: Probability 
第6週
10/18/2017  Chapter 6: Probability (continued)
Chapter 7: Random Variables and Discrete Probability Distributions 
第7週
10/25/2017  Chapter 7: Random Variables and Discrete Probability Distributions (continued) 
第8週
11/01/2017  Chapter 8: Continuous Probability Distributions  
第9週
11/08/2017  Mid-term Exam in Computer Room 
第10週
11/15/2017  Day off (NTU Anniversary Celebration) 
第11週
11/22/2017  Chapter 5: Data Collection and Sampling 
第12週
11/29/2017  Chapter 9: Sampling Distributions
 
第13週
12/06/2017  Chapter 10: Introduction to Estimation  
第14週
12/13/2017  Chapter 11: Introduction to Hypothesis Testing 
第15週
12/20/2017  Chapter 12: Inference about a Population 
第16週
12/27/2017  Chapter 12: Inference about a Population (continued) 
第17週
01/03/2018  Case Presentation 
第18週
01/10/2018  Final Exam in Computer Room