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課程名稱 |
統計學一下
Statistics (Ⅰ) (2) |
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開課學期 |
103-2 |
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授課對象 |
管理學院 資訊管理學系 |
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授課教師 |
陳靜枝 |
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課號 |
IM2006 |
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課程識別碼 |
705 21112 |
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班次 |
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學分 |
3 |
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全/半年 |
全年 |
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必/選修 |
必帶 |
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上課時間 |
星期三6,7,8(13:20~16:20) |
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上課地點 |
管二202 |
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備註 |
本課程中文授課,使用英文教科書。週三5實習在管院大電腦教室。
限本系所學生(含輔系、雙修生)
總人數上限：70人 |
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Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1032IM2006_STAT |
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課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
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課程大綱
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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. |
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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. |
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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.
The teaching assistant will conduct a lab every week after the homework is assigned. The procedures of using Statistics computer software, MS Excel, will be demonstrated in the labs.
Form each group with 5-8 persons. Select any research topic that could be solved by the hypothesis testing or regression techniques taught in this class. The project should starts from data-collection processes by the methods such as interviews, questionnaires, or secondary-data collection. Prepare a 15 minutes presentation. Turn in a report less than 10 pages.
Both mid-term and final exams will be in-class. No discussion is allowed in exams. Cheating will result in severe penalty. Both exams will last for three hours. |
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預期每週課後學習時數 |
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Office Hours |
另約時間 |
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指定閱讀 |
Managerial Statistics by Keller (9th Edition) |
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參考書目 |
Managerial Statistics by Keller (9th Edition) |
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評量方式
(僅供參考) |
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No. |
項目 |
百分比 |
說明 |
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1. |
First Homework |
5% |
The first review homework |
2. |
Homework |
10% |
Homework will be assigned through the term. |
3. |
Project Presentation (Jun. 17) |
15% |
Select any research topic that could be solved by the hypothesis testing or regression techniques taught in this class. |
4. |
Mid-term Exam |
35% |
The mid-term exam will be in-class on 4/22/2015. |
5. |
Final Exam |
35% |
The final exams will be in-class on 6/24/2015. |
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週次 |
日期 |
單元主題 |
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第1週 |
2015/2/25 |
Introduction and
Chapter 13: Inference about comparing two populations (I) |
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第2週 |
2015/3/4 |
Chapter 13: Inference about comparing two populations (II) |
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第3週 |
2015/3/11 |
Chapter 14: Analysis of Variance (I) |
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第4週 |
2015/3/18 |
Chapter 14: Analysis of Variance (II) |
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第5週 |
2015/3/25 |
Chapter 15: Chi-Squared Tests |
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第6週 |
2015/4/1 |
Day off (Spring Break) |
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第7週 |
2015/4/8 |
Chapter 19: Nonparametric Statistics (I) |
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第8週 |
2015/4/15 |
Chapter 19: Nonparametric Statistics (II) |
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第9週 |
2015/4/22 |
Mid-term Exam in Computer Room |
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第10週 |
2015/4/29 |
Chapter 16: Simple Linear Regression (I) |
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第11週 |
2015/5/6 |
Chapter 16: Simple Linear Regression (II) |
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第12週 |
2015/5/13 |
Chapter 17: Multiple Regression |
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第13週 |
2015/5/20 |
Chapter 18: Model Building (I) |
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第14週 |
2015/5/27 |
Chapter 18: Model Building (II) |
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第15週 |
2015/6/3 |
Chapter 20: Time-Series Analysis and Forecasting (I) |
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第16週 |
2015/6/10 |
Chapter 20: Time-Series Analysis and Forecasting (II) |
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第17週 |
2015/6/17 |
Project Presentation |
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第18週 |
2015/6/24 |
Final Exam in Computer Room |