NCHU Course Outline
Course Name (中) 統計學(二)(2030)
(Eng.) Statistics (II)
Offering Dept International Bachelor Program in Agribusiness
Course Type Elective Credits 3 Teacher CHANG,CHIA-LIN
Department International Bachelor Program in Agribusiness/Undergraduate Language English Semester 2025-SPRING
Course Description The second semester of the Statistics course is designed to build upon the foundational knowledge acquired in the first semester (Course Number 2099). This course offers deeper explanations of key statistical concepts and introduces advanced techniques for analyzing data. The content covers probability distributions (discrete and continuous), two-way ANOVA, Chi-square tests, simple regression, and multiple regression analysis. Students will engage in hands-on learning, applying these concepts to real-world scenarios in agriculture, business, and life sciences.

A key feature of the course is the integration of statistical software, including Excel with PHStat or R, enabling students to effectively apply statistical tools in research and professional contexts. By the end of the semester, students will be equipped to conduct comprehensive statistical analyses and interpret results with confidence.

Prerequisite: Students must have completed the Statistics course (Course Number 2099) in the first semester to enroll in this course. Students without basic knowledge of statistics or sufficient motivation are not recommended to take this course.
Prerequisites
self-directed learning in the course Y
Relevance of Course Objectives and Core Learning Outcomes(%) Teaching and Assessment Methods for Course Objectives
Course Objectives Competency Indicators Ratio(%) Teaching Methods Assessment Methods
The course objectives are focused on advancing students' understanding of statistical concepts by introducing more advanced topics, including probability distributions, ANOVA, Chi-square tests, and regression analysis. Students will learn to apply these statistical methods to real-world scenarios in fields such as agriculture, business, and life sciences, enhancing their problem-solving abilities in practical contexts. A significant emphasis is placed on the use of statistical software, including Excel with PHStat or R, to equip students with the skills needed to perform data analysis effectively. By the end of the course, students will have developed the ability to conduct and interpret statistical research with confidence, while also gaining a deeper understanding of the strengths and limitations of various statistical methods to support informed decision-making.
Exercises
Lecturing
Discussion
Attendance
Assignment
Quiz
Written Presentation
Course Content and Homework/Schedule/Tests Schedule
Week Course Content
Week 1 Course introduction
Week 2 Probability Distributions (Discrete)
Week 3 Probability Distributions (Continuous)
Week 4 Two-Way ANOVA (Part 1 Introduction)
Week 5 Two-Way ANOVA (Part 2 Advanced)
Week 6 Chi-Square Tests (Part 1 Goodness of Fit)
Week 7 Chi-Square Tests (Part 2 Independence)
Week 8 Midterm exam covering Weeks 1–7 content
Week 9 Simple Regression (Part 1 )
Week 10 Simple Regression (Part 2 Advanced)
Week 11 Multiple Regression (Part 1 Introduction)
Week 12 Multiple Regression (Part 2 Diagnostics and Assumptions)
Week 13 Multiple Regression (Part 3 Model Building and Selection)
Week 14 Multiple Regression (Applications and Reporting)
Week 15 Report Writing
Week 16 Term Report Presentation
Week 17 self-directed learning
Week 18 self-directed learning
Evaluation
The assessment for the subject is as follows:
class participation( + classwork): 25%
homework:15%
midterm: 30%
final: 30%
Textbook & other References
References
Satinerock R. Statistics with R (2e), SAGE
Levine/ Stephan/Szabat, Business Statistics A First Course (7e), Pearson Education Limited
2016. (雙葉書局代理)
Teaching Aids & Teacher's Website
See i-learning
Office Hours
By appointment
Sustainable Development Goals, SDGs
08.Decent Work and Economic Growth   17.Partnerships for the Goalsinclude experience courses：N
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Update Date, year/month/day：2025/01/08 11:51:51 Printed Date, year/month/day：2025 / 1 / 22
The second-hand book website：http://www.myub.com.tw/