Course Syllabus

Course Information：

Year-Semester Course Number Course Name Phase Credits Hours Required/Elective Instructor Class Student NO. Withdraw Note

Spring Semester
Year 2025 341323 Statistics (II) 1 3.0 3 ▲ Ting, Hsiu-I 4IFM2A 72 4 　

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2025	341323	Statistics (II)	1	3.0	3	▲	Ting, Hsiu-I	4IFM2A	72	4

Course Plan：

Instructor Ting, Hsiu-I　Office Hours

Email hiting@ntut.edu.tw

Last Updated 2024-12-16 21:36:50

Course Objective 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.

Course Schedule 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.

Evaluation and grading policy 10% Max[Assignment, Kahoot!] 20% Quizzes 30% Final exam 10% Mid-term report 30% Final report

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:Yes
David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran, Statistics for Business & Economics, 2013.

The access to curricular consultation If you have any further questions, please email me.

The course corresponds to the SDGs SDG1：消除貧窮（No Poverty）
SDG8：尊嚴就業與經濟發展（Decent Work and Economic Growth）
SDG10：減少不平等（Reduced Inequalities）

Does the course incorporate AI

Note
Course handouts and important information are available on Microsoft Teams.

Instructor	Ting, Hsiu-I　Office Hours
Email	hiting@ntut.edu.tw
Last Updated	2024-12-16 21:36:50
Course Objective	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.
Course Schedule	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.
Evaluation and grading policy	10% Max[Assignment, Kahoot!] 20% Quizzes 30% Final exam 10% Mid-term report 30% Final report
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran, Statistics for Business & Economics, 2013.
The access to curricular consultation	If you have any further questions, please email me.
The course corresponds to the SDGs	SDG1：消除貧窮（No Poverty） SDG8：尊嚴就業與經濟發展（Decent Work and Economic Growth） SDG10：減少不平等（Reduced Inequalities）
Does the course incorporate AI
Note	Course handouts and important information are available on Microsoft Teams.