生物統計學

1.Introduction: population vs sample 2.Data characteristics

Descriptive statistics 1.mean, standard deviation 2.median, Q1, Q3. 3. coefficient of variation. 4. statistical software: SPSS

Commonly used distributions:1.Normal distribution2.Binomial distribution (for binary data)2.Excel3.Sampling distribution of sample mean4. LLN, CLT

Point estimation for the population mean (I):1. Point estimation and interval estimation 2. One sample inference: mean3. t-distribution

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

中秋節

Point estimation for the population proportion (III):1. One sample: proportion2. Two independent samples: difference in proportions

Testing (I): 1.Null hypothesis and alternative hypothesis2.Type I error and Type 2 error

Testing (II):3.Significant level4.P-value, Critical region and critical value5.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

Linear regression analysis for continuous outcomes1. linear association: Pearson''s correlation vs Spearman''a rank correlation2. Multiple regression model

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

nonparametric analysis

Final exam