介紹生物統計學原理、相關的統計方法及如何應用於分析實際資料。使學生熟習生物統計學的應用範疇：敘述統計方法、機率分佈、抽樣方法、點估計、區間估計、假設檢定、迴歸分析等，並瞭解如何應用適當的統計方法分析資料。課程中學生必須學會使用Excel進行實際資料分析。

Introduces the principles of biostatistics, related statistical methods and how they are applied to analyze actual data. To familiarize students with the application areas of biostatistics: narrative statistical methods, probability distributions, sampling methods, point estimation, interval estimation, hypothesis testing, regression analysis, etc., and to understand how to apply appropriate statistical methods to analyze data. During the course, students must learn to use Excel for actual data analysis.

統計方法是現今計量科學研究中最常用的方法之一，但是，隨著科技的進步、套裝軟體的發達，同學可以很容易的處理一些基本資料的分析及推論，但並不全然了解方法背後之理論基礎。因此，本課程的主要目的是建立同學能獲正確的統計基本概念。盡量以簡單、生動且易於了解的方式講授課程內容進而引發同學學習之興趣，避免艱深的內容和太多的數學推導。本課程內容包含：
1. 敘述統計：關於數據資料的描述及整理。
2. 機率論：統計推論的基礎。
3. 假設檢定。
4. 變方分析與實驗設計。
5. 迴歸分析。

Statistical methods are one of the most commonly used methods in today's quantitative scientific research. However, with the advancement of technology and the development of packaged software, students can easily handle the analysis and inference of some basic data, but they do not fully understand the theoretical basis behind the methods. Therefore, the main purpose of this course is to enable students to acquire correct basic concepts of statistics. Try to teach the course content in a simple, vivid and easy-to-understand way to arouse students' interest in learning, and avoid difficult content and too many mathematical deductions. This course content includes:
1. Narrative statistics: description and organization of data.
2. Probability theory: the basis of statistical inference.
3. Hypothesis test.
4. Variation analysis and experimental design.
5. Regression analysis.

王祥光著. 圖解式生物統計學（第二版)2020/06，新文京。

Wang Xiangguang. Illustrated Biostatistics (Second Edition) 2020/06, Xinwenjing.