統計學(二)

臺北科技大學 114-2 學期課程，課號 355086。

課程大綱

本課程旨在培養學生運用統計推論分析資料變異與不確定性的能力，以支援分析、評估與決策過程。課程重視推論邏輯、假設條件與結果詮釋，強調統計方法在資料分析與系統性問題解決中的應用。課程內容涵蓋統計推論之核心理論與方法，並透過概念說明、課堂討論、小組解題、案例分析與引導式活動，協助學生建立完整的統計思維。 This course aims to develop students’ ability to analyze data variability and uncertainty using statistical inference to support analysis, evaluation, and decision-making. The course emphasizes inferential logic, assumptions, and interpretation. It highlights the role of statistical methods in data analysis and systematic problem solving. Course content covers core theories and methods of statistical inference, delivered through conceptual explanations, discussions, guided problem-solving, case analysis, and structured in-class activities.

課程進度

Week 1: Course orientation and learning approach Weeks 2–4: Joint probability distributions and correlation Weeks 5–6: Common joint distributions and functions of random variables Weeks 7–8: Descriptive statistics and data visualization Weeks 9–10: Point estimation and sampling distributions Weeks 11–12: Confidence intervals Weeks 13–14: Hypothesis testing Weeks 15–16: Statistical inference for two samples Week 17-18: Regression analysis (simple and multiple)

評量方式

Weekly module quizzes: 25% Exams: 40% Final project: 25% Guided practice: 10% Class activities may include short discussions, group problem-solving, case analysis, concept checks, and guided exercises. Participation is evaluated based on engagement and reasoning.

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 Douglas C. Montgomery and George C. Runger (2018), Applied Statistics and Probability for Engineers, 7th Edition, John Wiley. ISBN 978-1-119-40036-3