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 Data survey
-How survey can do wrong?
-Steps of conduct of survey
-Sampling vs. census
-Systematic sampling
-Stratified sampling
-Cluster random sampling
-Experiment
-Statistic design

※Chapter 3 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 4 Grouping data
-Steps of construct the frequency table
-Stem and leaf plot
-Box plot

※Chapter 5 Description statistics vs. inferential statistics
-Measure of central tendency
---- arithmetic mean
---- median
---- weighted mean
---- mode
---- quartile
---- other—geometric mean
-Measure of dispersion
---- range
---- mean deviation
---- variance
---- standard deviation
---- coefficient of variation
-Index of diversity
-The effect of coding data

※Chapter 6 The types of distribution
-Discrete random variable distribution
-The binomial distribution
-The Poisson distribution
-The normal distribution
-Proportions of a normal distribution
-The standard normal distribution
-The Chi-square distribution
-Student t’s distribution

※Chapter 7 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 8 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 9 Group comparison t-test and paired t-test
-Group comparison t-test
-Confidence limits for means
-Sample size
-Paired sample t-test
-Confidence limit for the population mean difference

※Chapter 10 Chi-square procedures
-The Chi-square distribution
-Chi-square goodness-of-fit test
-The heterogeneity of Chi-square
-Contingency tables

※Chapter 11 Principles of experimental design
-Experimental units and treatment
-Experimental error and treatment
-Error control

※Chapter 12 Analysis of variance I: The one-way classification
-Introduction
-The completely random design
-The linear additive model
-Assumptions of analysis of variance

※Chapter 13 Multiple comparisons
-Introduction
-The least significant difference (L.S.D)
-Turkey procedure
-Student-Newman-Keuls test
-Dunkan’s new multiple-range test
-Scheffe’s test
-Choice

※Chapter 14 Analysis of variance II: Multiway classification
-The randomized complete block design
-Linear models and the analysis of variance
-Double grouping: Latin squares
-Analysis of variance of the Latin squares

※Chapter 15 Analysis of variance III: Factorial experiments
-Classification
-Introduction
-Factorial experiments
-Linear model for factorial experiments

※Chapter 16 Simple linear regression and linear correlation
-Introduction
-The simple linear regression equation
-Testing the significance of a regression
-Confidence intervals for regression coefficient
-Linear correlation
-Testing the significant of a correlation
-The coefficient of determination