Statistics (I) - 109 Academic Year
This course is offered by NYCU Department of Industrial Engineering and Management.
Statistical methods are widely employed in many areas. Statistics I and II courses introduce the major concepts, and issues in statistical reasoning and the methods involved in collecting, analyzing, and drawing conclusions from data.
Topics including basic statistical principles, graphic presentation, descriptive measures, probability, probability distributions, discrete and continuous probability distribution, sampling distribution and interval estimation will be covered in Statistics I.
Topics including hypothesis testing, analysis of variance, nonparametric methods and regression analysis will be covered in Statistics II.
Textbook：
- NMendenhall, M. W. and T. L. Sincich (2016). Statistics for Engineering and the Sciences, 6th edition, CRC Press, Taylor & Francis Group, New York.
- Newbold, P., W. Carlson, and B. Thorne (2020). Statistics for Business and the Economics, 8th edition, Pearson.
For perfect learning results, please buy textbooks!
| Instructor(s) | Department of Industrial Engineering and Management Prof. Lee-Ing Tong |
|---|---|
| Course Credits | 3 Credits |
| Academic Year | 109 Academic Year |
| Level | College Students |
| Prior Knowledge | Calculus (I) |
| Related Resources | Course Video Course Syllabus |
課程目標
在目前高度工業化及電腦功能日增的時代，各領域需應用統計方法來分析其所蒐集之數據，以獲得有用之資訊作為下決策之依據，例如:新產品的研發、製程的管制、新藥的藥效測試、農穫量的提升、金融機構放款的信用評等、市場的行銷管理或社會科學常用的問卷調查等。
統計學(一)與統計學(二)課程之主要目的是介紹統計概念與常用之統計方法，如:各種統計量（指標）、統計圖表、機率分布、抽樣分布、信賴區間、假說檢定、變異數分析及迴歸分析等。 統計學(一)為基礎統計學之第一部份，課程內容包含統計概念介紹、統計量與統計圖表之應用、機率、機率分布、離散型與連續型機率分布、抽樣分佈及信賴區間估計等；
統計學(二)為基礎統計學之第二部份，課程內容包含假說檢定、變異數分析、無母數方法及迴歸分析等。
課程章節
| 單元主題 | 內容綱要 |
| Ch1 | 簡介 |
| Ch2 | 利用指標來描述資料 |
| Ch3 | 利用指標來描述雙變量資料 |
| Ch4 | 機率及機率分布 |
| Ch5 | 隨機變數及離散型機率分佈 常用之離散型機率分佈 |
| Ch6 | 連續型機率分佈 常用之連續型機率分佈 二元隨機變數之機率函數 |
| Ch7 | 抽樣分佈 |
| Ch8 | 信賴區間估計 |
課程書目
Mendenhall, M. W. and T. L. Sincich (2016). Statistics for Engineering and the Sciences, 6th edition, CRC Press, Taylor & Francis Group, New York.
Newbold, P., W. Carlson, and B. Thorne (2020). Statistics for Business and the Economics, 8th edition, Pearson.
