課程資訊
課程名稱
統計學一下
Statistics (I)(2) 
開課學期
112-2 
授課對象
資訊管理學系  
授課教師
陳靜枝 
課號
MGT2002 
課程識別碼
700 20112 
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。
限本系所學生(含輔系、雙修生)
總人數上限:70人 
 
課程簡介影片
 
核心能力關聯
本課程尚未建立核心能力關連
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. 

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
Students should complete their homework using Python (Version 3) and Jupyter Lab. The teaching assistants will conduct a lab session the next week after a homework assignment. Form each group with 5-8 persons. Select a research question that allows you to tell a story using the techniques you learned in this course. Both mid-term and final exams will be in-class, three-hour, and open-book. 
預期每週課後學習時數
 
Office Hours
另約時間 
指定閱讀
Statistics for Management and Economics by Gerald Keller (12th Edition) 
參考書目
 
評量方式
(僅供參考)
 
No.
項目
百分比
說明
1. 
Homework 
15% 
Students should complete their homework using Python (Version 3) and Jupyter Lab. They should submit their files (exported as HTML) to NTUCOOL. The submission should contain code and results. Homework assignments are due the following week before the class begins (i.e., 2:20 pm). Plagiarism will be harshly punished. Students are allowed to discuss homework questions with each other. The discussion, however, should be about a specific concept or detail instead of the complete answers to a given question. Sharing your answers with other students is strictly prohibited.  
2. 
Project Presentation (May 29) 
15% 
Form each group with 5-8 persons. Select a research question that allows you to tell a story using the techniques you learned in this course. Your group should conduct a 12-minute presentation and turn in your slides, codes, and datasets to NTUCOOL within 24 hours after your presentation. 
3. 
Mid-term (Apr. 10) 
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. 
4. 
Final (Jun. 5) 
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. 
 
針對學生困難提供學生調整方式
 
上課形式
以錄影輔助
作業繳交方式
考試形式
其他
由師生雙方議定
課程進度
週次
日期
單元主題
第1週
2024/02/21  Chapter 13: Inference about comparing two populations (I) 
第2週
2024/02/28  228 Memorial Day (One day off) 
第3週
2024/03/06  Chapter 13: Inference about comparing two populations (II) 
第4週
2024/03/13  Chapter 14: Analysis of Variance (I) 
第5週
2024/03/20  Chapter 14: Analysis of Variance (II) 
第6週
2024/03/27  Chapter 15: Chi-Squared Tests 
第7週
2024/04/03  Chapter 19: Nonparametric Statistics 
第8週
2024/04/10  Mid-term Exam in Computer Room 
第9週
2024/04/17  Chapter 16: Simple Linear Regression and Correlation (I) 
第10週
2024/04/24  Chapter 16: Simple Linear Regression and Correlation (II) 
第11週
2024/05/01  Chapter 17: Multiple Regression 
第12週
2024/05/08  Chapter 18: Model Building 
第13週
2024/05/15  Chapter 20: Time-Series Analysis and Forecasting (I) 
第14週
2024/05/22  Chapter 20: Time-Series Analysis and Forecasting (II) 
第15週
2024/05/29  Project Presentation 
第16週
2024/06/05  Final Exam in Computer Room