統計學(二)實習

臺北科技大學 114-2 學期課程，課號 355085。

課程大綱

課程目的在於培養學生運用統計軟體進行資料分析與統計推論的實務能力，並透過實作與討論深化對統計方法的理解。課程強調以互動、說明與同儕學習作為學習歷程的一部分，鼓勵學生透過解釋、提問與討論來建構統計思維。課程內容配合統計推論之核心概念，透過 Python 與 R 進行操作、模擬、診斷與結果解讀。 The course aims to develop students’ ability to apply statistical tools for data analysis and statistical inference through hands-on practice. Learning emphasizes interaction, explanation, and peer learning as integral parts of the process. Students are encouraged to build statistical understanding by discussing, explaining, and questioning methods and results. Course activities align with core concepts of statistical inference and are implemented using Python and R for computation, simulation, diagnostics, and interpretation.

課程進度

Week 1: Course orientation and software setup Week 2: Joint distributions and correlation Week 3: Random variables and simulation Week 4: Descriptive statistics Week 5: Sampling distributions Week 6: Point estimation and standard error Week 7: Confidence intervals Week 8: Hypothesis testing Week 9: Two-sample inference Week 10: Nonparametric methods Week 11: Simple linear regression Week 12: Regression diagnostics Week 13: Introduction to multiple regression Week 14: Integrated simulation and inference practice Week 15: Comprehensive lab practice Weeks 16–18: Flexible use for review or assessment

評量方式

In-Class Lab Assignments: 55% Interaction and Peer Teaching: 35% Learning Engagement: 10%

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 Rigdon, S. E., Fricker, Jr, R. D., and Montgomery, D. C. (2024). Introduction to Probability and Statistics for Data Science: with R. Cambridge: Cambridge University Press.