校際選修

115-1 選課時程

進行中

  • 初選第一階段 6/15/2026
  • 初選第二階段 6/22/2026
  • 校際選修 8/24/2026
  • 初選第三階段 8/31/2026
  • 開學後加退選 9/7/2026
  • 逾期加退選 9/21/2026
選課資源

生物統計學

Biostatistics

學期
109-1
學分
2 學分
當期課號
A460
永久課號
A1291
開課單位
物理治療暨輔助科技學系
授課教師
陳瓊梅
類別
必修
上課時間表
週一
3
10:10–11:00
生物統計學
2 節連堂
4
11:10–12:00

* 根據陽明交大上課時間表所列

週次計畫
週次主題
第 1 週1. Introduction: population, sample 2. Data characteristics 3. SPSS
第 2 週Descriptive statistics 1. mean, standard deviation 2. median, Q1, Q3 3. coefficient of variation 4. Using SPSS
第 3 週Commonly used distributions: 1. Normal and Bernoulli distributions 2. Excel 3. Sampling distribution of sample mean (for continuous data) 4. Binomial distribution (for binary data)
第 4 週1. Law of large number (LLN) 2. Central limit theorem
第 5 週Point estimation for the population mean (I) 1. Point estimation and interval estimation 2. One sample inference: mean 3. t-distribution
第 6 週Point estimation (II) Two independent samples: difference in means and proportions
第 7 週Point estimation for the population proportion (III): 1. One sample: proportion 2. Two independent samples: difference in proportions
第 8 週Testing (I) 1. Null hypothesis and alternative hypothesis 2. Significant level 3. P-value, Critical region and critical value
第 9 週Testing (II): 1. Procedure of conducting testing 2. Type I error and Type error
第 10 週Testing (III): 1. Two-tail test 2. One-tail test; 3. Two-tail testing vs confidence interval
第 11 週Two-sample t test
第 12 週1. Two-sample test for the difference in the population proportions 2. Chi-square test 3. odds ratio
第 13 週McNemar''s test
第 14 週1. One-way ANOVA vs Kruskal-Wallis test 2. One-way two-group ANOVA vs t-test
第 15 週Regression analysis (I) linear association (Pearson''s correlation vs Spearman''a rank correlation)
第 16 週Regression analysis (II) linear models (Simple regression model, multiple regression model)
第 17 週Logistic regression model
第 18 週Final exam