教學大綱與進度

課程基本資料：

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
114-1	348579	統計(一)	1	3.0	3	▲	丁秀儀	資財二	60	0

教學大綱與進度：

教師姓名	丁秀儀　教師諮商時間(Office Hours)
Email	hiting@ntut.edu.tw
最後更新時間	2025-05-27 18:08:25
課程大綱	The purpose of this course is to familiarize students with frequently used statistical methods and theories. Students will be able to draw appropriate conclusions through problem identification, data collection, and appropriate statistical analysis methods. The course includes: descriptive statistics, probability concepts, probability distribution, interval estimation, hypothesis test, variance analysis, and regression analysis.
課程進度	1 Ch1 Data and Statistics. 2 Ch2 Descriptive Statistics: Tabular and Graphical Displays. 3 Ch2 4 Ch3 Descriptive Statistics: Numerical Measures. 5 Day off 6 Ch3 7 Descriptive Statistics Report Ch4 Introduction to Probability. 8 Day off 9 Ch4 10 Ch5 Discrete Probability Distributions. 11 Ch5 12 Ch6 Continuous Probability Distributions. 13 Mid-term exam 14 Ch7 Sampling and Sampling Distributions. 15 Ch7 16 Ch8 Interval Estimation. 17 Ch8 18 Final exam
評量方式與標準	Assignments & quiz 40% Report 20% Mid-term exam 20% Final exam 20%
使用教材、參考書目或其他	【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 Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Statistics for Business & Economics (15e).
課程諮詢管道	Please contact via email
課程對應SDGs指標	SDG1：消除貧窮（No Poverty） SDG8：尊嚴就業與經濟發展（Decent Work and Economic Growth） SDG10：減少不平等（Reduced Inequalities）
課程是否導入AI	AI1：使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process） AI2：鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）
備註	If necessary, we will use Microsoft Teams for online teaching.