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
110-2	296884	統計學(二)	1	3.0	3	▲	陳協慶	工管二乙	52	0

教學大綱與進度：

教師姓名	陳協慶
Email	cyutchen@ms28.hinet.net
最後更新時間	2022-01-23 16:23:30
課程大綱	The purpose of this course is to train students to familiarize themselves with the statistical methods and theories that are often used. They can use collected data to analyze unknown phenomena and lay the foundation for other related disciplines. Course content includes sampling theory, point estimation, statistical inference, hypothesis testing, regression analysis, analysis of variance, and nonparametric tests.
課程進度	(wk1) Sampling and Sampling Distribution (normal & chi-square) (wk2) Sampling and Sampling Distribution (t & F distribution) (wk3) Point Estimation (wk4) Confidence interval of mean and variance (wk5) Quiz#1 (wk6,7,8) Hypotheses Tests (wk9) Midterm Exam (wk10) Comparison Multiple Proportions, Test of Independence and Goodness of Fit (wk11,12) Experimental Design and ANOVA (wk13) Quiz#2 (wk14) Simple Linear Regression (wk15) Multiple Regression (wk16,17) Nonparametric Tests (wk18) Final
評量方式與標準	Quiz*2 (50%); Examination*2 (50%)
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 Statistics for Business & Economics, by Anderson, et al.
課程諮詢管道
課程對應SDGs指標
備註	Lecturing in English 若因疫情影響需依防疫規定採用遠距教學時，將採用MS Teams系統線上授課。Teams之連結將置於北科i學員課程資料中，屆時同學需使用學號＠cc.ntut.edu帳號，並採用學校入口網站密碼登入。