| Course Name |
(中) 統計學(一)(1982) |
| (Eng.) Statistics (I) |
| Offering Dept |
College of Management |
| Course Type |
Required |
Credits |
3 |
Teacher |
Yen-Chen Ho |
| Department |
Department of Finance/Undergraduate |
Language |
English |
Semester |
2026-FALL |
| Course Description |
This course provides students with a comprehensive foundation in statistical thinking and data analysis essential for modern business decision-making. Taught entirely in English, the course is designed to equip management students with both the conceptual understanding and practical skills needed to interpret and analyze data in real-world business contexts.
The course is structured into three progressive modules. The first module introduces the fundamentals of data collection, visualization, and numerical description, teaching students how to gather meaningful data and present it effectively through charts, tables, and key statistical measures. The second module transitions into probability theory, covering discrete and continuous probability distributions, which form the mathematical backbone of statistical inference. The third module advances into inferential statistics, where students learn sampling distributions, population parameter estimation, and hypothesis testing — tools that are indispensable for evidence-based business decisions.
Each module concludes with a review session and a formal assessment, ensuring steady and structured progress throughout the semester. By the end of this course, students will be able to critically evaluate data, draw statistically sound conclusions, and communicate analytical findings with confidence — skills that are increasingly vital across all areas of management, finance, marketing, and operations. |
| 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 |
1. Basic statistical theorems
2. Data analysis using statistical techniques |
| 1.Independent analysis |
| 3.originality |
|
|
|
| Assignment |
| Quiz |
| Written Presentation |
| Attendance |
|
| Course Content and Homework/Schedule/Tests Schedule |
| Week |
Course Content |
| Week 1 |
Introduction/Ch01. The Where, Why, and How of Data Collection
|
| Week 2 |
Ch02. Graphics, Charts, and Tables－Describing Your data |
| Week 3 |
Ch03. Describing Data Using Numerical Measures |
| Week 4 |
Review 1 |
| Week 5 |
Test 1 |
| Week 6 |
Ch04. Introduction to Probability |
| Week 7 |
Ch05. Discrete Probability Distributions |
| Week 8 |
Ch06. Introduction to Continuous Probability Distributions |
| Week 9 |
Review 2
|
| Week 10 |
Test 2 |
| Week 11 |
Ch07. Introduction to Sampling Distributions |
| Week 12 |
Ch08. Estimating Single Population Parameters |
| Week 13 |
Ch09. Introduction To Hypothesis Testing |
| Week 14 |
Ch09. Introduction To Hypothesis Testing
|
| Week 15 |
Review 3 |
| Week 16 |
Test 3
Accessing multimedia materials related to industry and academia significantly enhances business statistics self-learning by providing diverse perspectives beyond traditional textbooks. Visual content like infographics, videos, and interactive dashboards help students grasp complex statistical concepts more intuitively. Industry case studies demonstrate real-world applications, bridging theoretical knowledge with practical implementation. Academic multimedia resources expose students to cutting-edge research methodologies and emerging trends. This multi-format approach accommodates different learning styles, making abstract statistical concepts more accessible. |
self-directed
learning |
02.Viewing multimedia materials related to industry and academia.
|
|
| Evaluation |
Exams 75% Tests 1-3 25% each
Attendance 20% Participation and assignment
Feedback 5% 5 mins video-selfie in English |
| Textbook & other References |
Main textbook
Groebner, D. F., Shannon, P. W. & Fry, P. C. (2018) Business Statistics: A Decision-Making Approach (10th Edition), Pearson Education Inc.
|
| Teaching Aids & Teacher's Website |
|
| Office Hours |
| Office hours will announced in the first session. Please contact the course TA if you might need further assistance. |
| Sustainable Development Goals, SDGs(Link URL) |
| 04.Quality Education 08.Decent Work and Economic Growth 10.Reduced Inequalities 17.Partnerships for the Goals | include experience courses：N |
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