課程資訊
課程名稱
生物統計學
Biostatistics 
開課學期
101-1 
授課對象
生物資源暨農學院  園藝暨景觀學系  
授課教師
張龍生 
課號
HORT3020 
課程識別碼
608 39000 
班次
 
學分
全/半年
半年 
必/選修
必修 
上課時間
星期三6,7,8(13:20~16:20) 
上課地點
園藝R204 
備註
總人數上限:40人
外系人數限制:10人 
Ceiba 課程網頁
http://ceiba.ntu.edu.tw/1011bio_3020 
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課程概述

生物統計學課程大綱:

Chapter 1 Introduction
Chapter outline
General objectives
Biostatistics development
Descriptive vs inferential
Populations and samples
Frequency distribution

Chapter 2 Types of biological data
Data on a nominal scale
Data on an ordinal scale
Data on an interval scale
Data on a ratio scale

Chapter 3 Description statistics
Measure of central tendency
- arithmetic mean
- median
- median
- mode
- quartile
- other–geometric mean
Measure of dispersion
- range
- mean deviation
- variance
- standard deviation
- coefficient of variation

Chapter 4 The normal distribution
Introduction–symmetry and kurtosis
Proportions of a normal distribution
The distribution of means

Chapter 5 The sampling distribution of the sample mean
Sampling error
The mean and standard deviation of sample mean
The sampling distribution of the sample mean
The sampling distribution of the difference between two
sample means for one population mean
Chapter 6 Hypothesis test for one population mean
The nature of hypothesis testing
Terms, errors and hypothesis
- type one error
- type two error
Power
One-tailed vs two-tailed test
Confidence limit for the population mean
Confidence limit for the population variance

Chapter 7 Group comparison t-test and paired t-test
Group comparison t-test
Confidence limits for means 

課程目標
生物統計學課程 
課程要求
 
預期每週課後學習時數
 
Office Hours
備註: 3 exams(60%)+ Homework(20%) + Class performance (20%)  
參考書目
Textbook
Glover, T. and K. Mitchell 2008 An introduction to Biostatistics 2nd ed.
Steel, R. G. D., J. H. Torrie, and D. A. Dickey 1997 Principles and Procedures of Statistics_ a biometrical approach 3rd ed.
 
指定閱讀
 
評量方式
(僅供參考)
   
課程進度
週次
日期
單元主題
第1週
9/12  1. Introduction
What is “Statistics”?
What do statistical data tell you?
How to conduct a biological study?
Development of biostatistics
 
第2週
9/19  2. How to obtain statistic information?
Sample vs. population:
Parameters and statistics
Census vs. sampling
Representative sample
Table of a random numbers
Simple random sampling
Systematic random sampling
Cluster sampling
Stratified sampling
Margin of error
Experimentation and its principles
 
第3週
9/26  2. How to obtain statistic information?
Sample vs. population:
Parameters and statistics
Census vs. sampling
Representative sample
Table of a random numbers
Simple random sampling
Systematic random sampling
Cluster sampling
Stratified sampling
Margin of error
Experimentation and its principles
 
第4週
10/03  chapter 4. Descriptive Statistics
Shannon-Weaver diversity index
4. Descriptive Statistics
Kinds of statistic figures
Frequency distribution
Procedures of frequency distribution establishment
Stem and leaf plot
Box Plot 
第6週
10/17  5. The Probability distribution
Terminology
Properties of normal curve
Standard normal distribution
Properties of standard normal curve
 
第7週
10/24  6. Sampling distributions
Definition
Distribution of the sample mean
Confidence intervals for the population mean
Confidence intervals for the population variance
Confidence intervals for the population proportion
 
第8週
10/31  Confidence intervals of variance, dample size, and distribution of mean difference 
第9週
11/07  7. Hypothesis test for one population mean
Nature of hypothesis test
Terminology
Procedures of testing hypothesis
Type I error
Type II error
Power
Two-tailed test vs. one tailed test
Assumptions
Confidence interval
P-value
Non-parametric test
The one-sample sign test
The one sample Wilcoxon signed-rank test
 
第10週
11/14  8. Tests hypothesis involving two samples
Introduction
Group comparison test
Paired test
To determine the sample size
Efficiency between pair vs. group test
Non-parametric test
Wilcoxon rank-sum test
The sign test
The Wilcoxon signed rank test
 
第11週
11/21  8. Tests hypothesis involving two samples
Introduction
Group comparison test
Paired test
To determine the sample size
Efficiency between pair vs. group test
Non-parametric test
Wilcoxon rank-sum test
The sign test
The Wilcoxon signed rank test
 
第12週
11/28  9. Chi-square Procedures
Properties
Goodness-of-fit test
Heterogeneity chi-square test
Test for independence
Heterogeneity of independence test
Set confidence limits for variance
 
第13週
12/05  Mann-Qhitneyn test, paired signed test, and Wilcoxin signed ranked tes and tchi-square test 
第14週
12/12  10. One way analysis of variance
Model 1 analysis of variance
Significant test by F distribution
Model II
Linear additive model
Bartlett’s test
The Kruskal-Wallis test
 
第15週
12/19  10. One way analysis of variance
Model 1 analysis of variance
Significant test by F distribution
Model II
Linear additive model
Bartlett’s test
The Kruskal-Wallis test

11. Multiple range test
Least significant difference
Tukey’s procedures
Student-Newman-Keul’s test
Scheffe’s Method
Choosing a range test
 
第16週
12/26  12. Linear Regression and correlation
Introduction
Correlation coefficient
Significant test of correlation
Regression analysis
Assumption of regression
Analysis of regression
Correlation coefficient vs. regression coefficient
Confidence limits on regression coefficient
 
第17週
1/02  12. Linear Regression and correlation
Introduction
Correlation coefficient
Significant test of correlation
Regression analysis
Assumption of regression
Analysis of regression
Correlation coefficient vs. regression coefficient
Confidence limits on regression coefficient