查詢教學大綱與進度

教學大綱與進度

課程基本資料：

學年期課號課程名稱階段學分時數修教師班級人撤備註

110-2 300661 統計(二) 1 3.0 3 ▲ 丁秀儀資財二乙 65 1 　

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
110-2	300661	統計(二)	1	3.0	3	▲	丁秀儀	資財二乙	65	1

教學大綱與進度：

教師姓名丁秀儀

Email hiting@ntut.edu.tw

最後更新時間 2022-02-22 08:44:05

課程大綱 The purpose of this course is to familiarize students with frequently used statistical methods and theories. Students will be able to draw appropriate conclusions through problem identification, data collection, and appropriate statistical analysis methods. The course includes: descriptive statistics, probability concepts, probability distribution, interval estimation, hypothesis test, variance analysis, and regression analysis.

課程進度 9. Hypothesis Tests. 10. Inference about Means and Proportions with Two Populations. 11. Inferences about Population Variances. 12. Comparing Multiple Proportions, Test of Independence and Goodness of Fit. 13. Experimental Design and Analysis of Variance. 14. Simple Linear Regression. 15. Multiple Regression. 16. Regression Analysis: Model Building.

評量方式與標準 Assignments & quiz 50% Final exam 25% Mid-term report 10% Final report 15%

使用教材、參考書目或其他 【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】

使用外文原文書：是
David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran, Statistics for Business & Economics, 2013.

課程諮詢管道

備註因應疫情發展，本學期教學及授課方式請依照學校網頁所公布之訊息為準：
(https://oaa.ntut.edu.tw/p/404-1008-98622.php?Lang=zh-tw)

Course handouts and important information are available on Microsoft Teams.
We will use Microsoft Teams to deliver online classes for the pandemic.
If you have any further questions, please email me.

教師姓名	丁秀儀
Email	hiting@ntut.edu.tw
最後更新時間	2022-02-22 08:44:05
課程大綱	The purpose of this course is to familiarize students with frequently used statistical methods and theories. Students will be able to draw appropriate conclusions through problem identification, data collection, and appropriate statistical analysis methods. The course includes: descriptive statistics, probability concepts, probability distribution, interval estimation, hypothesis test, variance analysis, and regression analysis.
課程進度	9. Hypothesis Tests. 10. Inference about Means and Proportions with Two Populations. 11. Inferences about Population Variances. 12. Comparing Multiple Proportions, Test of Independence and Goodness of Fit. 13. Experimental Design and Analysis of Variance. 14. Simple Linear Regression. 15. Multiple Regression. 16. Regression Analysis: Model Building.
評量方式與標準	Assignments & quiz 50% Final exam 25% Mid-term report 10% Final report 15%
使用教材、參考書目或其他	【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】使用外文原文書：是 David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran, Statistics for Business & Economics, 2013.
課程諮詢管道
備註	因應疫情發展，本學期教學及授課方式請依照學校網頁所公布之訊息為準： (https://oaa.ntut.edu.tw/p/404-1008-98622.php?Lang=zh-tw) Course handouts and important information are available on Microsoft Teams. We will use Microsoft Teams to deliver online classes for the pandemic. If you have any further questions, please email me.