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
112-1	319941	統計學(一)	1	3.0	3	▲	陳協慶	工管二乙	59	2

教學大綱與進度：

教師姓名	陳協慶　教師諮商時間(Office Hours)
Email	cyutchen@ms28.hinet.net
最後更新時間	2023-05-26 10:11:18
課程大綱	本課程之目的在訓練學生，使學生熟悉經常使用之統計方法與理論，能利用已知之資料整理、分析未知之現象，打好修習其他相關學科之基礎。課程內容包括：機率理論、推定、假設檢定、迴歸分析、變異數分析等。
課程進度	(wk1) Introduction (wk2) 1.1 Overview; 1.2 Sampling Procedures; 1.3 Measures of Location; 1.4 Measures of Variability (wk3) 1.5 Discrete and Continuous Data; 1.6 Statistical Modeling (wk4) 2.1 Sample Space; 2.2 Events; 2.3 Counting Sample Points (wk5) 2.4 Probability of an Event; 2.5 Additive Rules (wk6) 2.6 Conditional Probability (wk7) 2.7 Bayes’ Rule (wk8) 3.1 Concept of a Random Variable; 3.2 Discrete Probability Distributions (wk9) Midterm (wk10) 3.3 Continuous Probability Distributions; 3.4 Joint Probability Distributions (wk11) 4.1 Mean of a Random Variable; 4.2 Variance and Covariance of Random Variables (wk12) 4.3 Means and Variances of Linear Combinations of Random Variables (wk13) 4.4 Chebyshev’s Theorem (wk14) Binomial, Multinomial, Hypergeometric, Negative Binomial, Geometric, & Poisson Distributions (wk15) 6.1 Continuous Uniform Distribution; 6.2 Normal Distribution; 6.3 Areas under the Normal Curve (wk16) 6.5 Normal Approximation to the Binomial; 6.6 Gamma and Exponential Distributions (wk17) 6.7 Chi-Squared Distribution; 6.8 Beta Distribution; 6.9 Lognormal Distribution (wk18) Final
評量方式與標準	Quiz*2 +Midterm+Final(60%), Comprehensive test(6%), Zuvio online*12+(24+%) +BOPPPS*2(8%), bonus(?%)
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 and Economics (Anderson )
課程諮詢管道	Mon./Thr.:1:00pm ~ 4:00pm (科研大樓1032)
課程對應SDGs指標
備註	採遠距教學時請使用i學園之連結進入Teams課堂，帳號為[學號]@cc.ntut.edu.tw；密碼與入口網站相同。