生物統計學

1.Introduction: population vs sample 2.Data characteristics

Descriptive statistics 1.mean, standard deviation 2.median, Q1, Q33.coefficient of variation 4.statistical software: SPSS Commonly used distributions: 1.Normal distribution 2.Binomial distribution (for binary data) 3.Excel

Sampling distribution of sample mean4. LLN, CLT

Point estimation (I): 1. Point estimation and interval estimation 2. One sample inference: mean 3. t-distribution

Point estimation (II): Two independent samples: difference in means and proportions

Point estimation for the population proportion (III): 1. One sample: proportion 2. Two independent samples: difference in proportions

兒童節及民族掃墓節連假(3日-6日)

Testing (I): 1.Null hypothesis and alternative hypothesis 2.Type I error and Type 2 error

Testing (II): 3.Significant level4. P-value, Critical region and critical value 5.Type I error and Type II error4.One-sample t-test: one-tail t test and two-tail t test

Testing (III): 1.Two-sample t-test 2.Test vs confidence interval

1.pair t-test 2.two-sample proportions test

Chi-square testANOVAMcNemar's test

Mid-term examination

Linear regression analysis for continuous outcomes 1. linear association: Pearson''s correlation vs Spearman''a rank correlation 2. Multiple regression model

Logistic regression model for binary outcomes 1.Odds ratio 2.Logistic regression model

Final exam