統計學暨實習

臺北科技大學 115-1 學期課程，課號 367089。

• 學期：115-1
• 授課教師：張漢利
• 學分：3
• 選修
• 上課時段：週三 2、3、4 節

課程大綱

This course introduces fundamental statistical concepts and analytical tools for data-driven decision-making. This course is offered under the Taiwan AI College Alliance (TAICA) program. Lectures are delivered asynchronously via online meeting platform that can be found in NTU COOL (https://cool.ntu.edu.tw/).

課程進度

* Course Introduction & Data Fundamentals * Data Types, Sampling Methods, and Experimental Design * Summarizing Data Numerical & Graphical Representations * Basic Probability Rules, Conditional Probability, and Independence * Random Variables, Normal Distribution, and Binomial Distribution * Sampling Distributions and Central Limit Theorem * Confidence Intervals and Point Estimates * Midterm Exam (Synchronized, In-Person 9:30 AM – 12:00 PM) * Hypothesis Testing for Single Categorical Proportions * Chi-Square Tests for Independence and Goodness-of-Fit * Hypothesis Testing & Confidence Intervals for Single Means * Comparing Two Independent Means and Paired Data Analysis * Introduction to Simple Linear Regression & Correlation * Model Fitting, Least Squares Method, and Residual Analysis * Final Exam (Synchronized, In-Person 9:30 AM – 12:00 PM) * Course Review & Final Grade Assessment

評量方式

- Midterm Exam: 40% - Final Exam: 60%

教材

【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 Required Textbook: Diez, D. M., Barr, C. D., & Çetinkaya-Rundel, M. (2019). OpenIntro Statistics (4th ed.). Supplementary Reference: Rosling, H., Rosling, O., & Rönnlund, A. R. (2018). Factfulness: Ten Reasons We're Wrong About the World.