課程資訊
課程名稱
基礎統計方法與資料分析
Fundamental Statistical Methods and Data Analysis 
開課學期
104-1 
授課對象
生物資源暨農學院  生物統計學組  
授課教師
 
課號
Agron5066 
課程識別碼
621 U6560 
班次
 
學分
全/半年
半年 
必/選修
選修 
上課時間
星期一2,3,4(9:10~12:10) 
上課地點
生統教室 
備註
限生農學院與筑波大學雙學位生
限生農學院學生(含輔系、雙修生) 且 限國際學生
總人數上限:5人 
Ceiba 課程網頁
http://ceiba.ntu.edu.tw/1041Agron5066_FuStat 
課程簡介影片
 
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課程概述

IMPORTANT NOTICE!!!!

***PLEASE SELECT ENGLISH VERSION FOR THE WEBSITE OF THIS COURSE***

Because of recent advance in technology and their applications, statistics has become an indispensable platform for research and data analysis in many areas. In addition, as a result of NTU internationalization, the number of foreign students from various univerity of different countries has increased rapidly in recent years. Therefore, the number of foreign students who require statistical training also increases dramatically, in particularly, the foreign graduate students whose native tongue is not Taiwanese or Mandarin. Consequently, this course is offered only to the graduate students enrolled in the Dual Degree Program and Joint Supervisiion of a Thesis between College of Bioresources and Agriculture, National Taiwan University, Taiwan and Graduate School of Comprehensive Human Scineces University of Tsukuba, Japan. This introductory statistics course which will be taught entirely in English. The objective of the course is to provide fundamental statistical concepts and methods with correct applications. The contents of the course include descriptive statistics, probability, discrete and continuous random variables, normal distribution, sampling distributions, point and interval estimation, hypothesis testing, t-test, chi-squared test, one-way analysis of variance, correlation and regression, and nonparametric methods. This course will use SAS (Statistical Analysis Systems) to illustrate applications of various methods.

The professor of this course has a PhD degree in Statistics and has worked for international pharmaceutical companies in the United States for more than 10 years. He has written 10 statistics books in English published by the international publishers such John Wiley, Marcel Dekker, and Taylor and Francis. Because his significant contributions to statistics, Professor Jen-pei Liu was elected as the Fellow of the American Statistical Association in 2012. This course will be taught completely in English. All course teaching materials including homework, midterm and final exam will be also given in English.
 

課程目標
To equip students with fundamental statistical concepts and methods with correct applications. 
課程要求
(1) Student must be able to communicate effectively in English, both orally and written.
(2) Basic concepts of statistics.
(3) Correct applications of statistical methods.
(4) Able to run simple SAS program and to interpret the SAS outputs.
(5)No make-up midterm and final exams are allowed unless you obtain the NTU official permission of leaves. The scores of the midterm and final exams will be 0 without the NTU official permission of leaves (We follow strictly the official NTU Student Codes and Conducts).
(6) Cheating will be dealt swiftly and severely with the official NTU Student Codes and Conducts.
(7) No late homework is allowed and the score is 0 for the missing homework. One point will be deducted from the final score if you miss class everytime.
 
預期每週課後學習時數
 
Office Hours
每週一 08:00~09:00 
指定閱讀
Bluman, A.G. (2007) Elementary Statistics: A Step by Step Approach, 6th
Edition, McGraw Hill, New York.
 
參考書目
Bluman, A.G. (2007) Elementary Statistics: A Step by Step Approach, 6th
Edition, McGraw Hill, New York.  
評量方式
(僅供參考)
 
No.
項目
百分比
說明
1. 
Takehome midterm 
20% 
 
2. 
Final presentation 
30% 
 
3. 
Attendance 
10% 
 
4. 
Homework 
40% 
 
 
課程進度
週次
日期
單元主題
第1週
  Introduction and Descriptive Statistics 
第2週
  Descriptive Statistics: Histogram, Pie Cahrt, Stem-leaf Plots 
第3週
  Descriptive Statistics: Mean, Median, mode, rang, standard deviation, Box plot 
第4週
  Probability: basic Concepts, Sample Space, Addition and Multiplicative Rules, Conditional Probability 
第5週
  Discrete Random Variables: Binomial and Poisson Random Variables 
第6週
  Continuous Random Variables and Normal Distribution 
第7週
  Sampling Distribution and Point Estimation  
第8週
  Interval Estimation 
第9週
  Midterm  
第10週
  Hypothesis Testing: Concepts and One sampe 
第11週
  Hypothesis Tesitng: Unpaired and paired samples 
第12週
  Comparison of Proportions: Goodness-of-fit test 
第13週
  Comparisons of Proportions: Test of Independence; McNemar Test for Paired Proportions 
第14週
  Analysis of Variance: Partition of Source of Variation 
第15週
  Analysis of Variance: Multiple Comparison 
第16週
  Correlation and Simple Linear Regression: Least Squares Estimates
 
第17週
  Correlation and Simple Linear Regression: Prediction and Inverse Regression 
第18週
  Final Exam