課程資訊
 課程名稱 生物統計學Biostatistics 開課學期 101-1 授課對象 學程  生物統計學程 授課教師 張龍生 課號 HORT3020 課程識別碼 608 39000 班次 學分 3 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 課程簡介影片 核心能力關聯 核心能力與課程規劃關聯圖 課程大綱 為確保您我的權利,請尊重智慧財產權及不得非法影印 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