本課程的主要目的在於建立學生良好的統計學觀念，進而培養學生獨立獨立設計實驗與分析資料的能力。課程將由討論科學方法為起點，介紹各種統計方法，包含敘述統計、t-test、變異數分析、相關分析、迴歸分析、類別資料分析與無母數統計。

The main purpose of this course is to establish students' good statistical concepts and then cultivate students' ability to independently design experiments and analyze data. The course will start with a discussion of scientific methods and introduce various statistical methods, including narrative statistics, t-test, variation analysis, correlation analysis, regression analysis, categorical data analysis and motherless statistics.

利用sas軟體分析，建立學生對資料數據的處理，結果之研判及實驗工作的規劃(採用統計設計方式)。首先就族群與樣品的差異予以探討，統計時產生可能錯誤(Type I,Type II)緣由，及由族群所用的Z分布及應用時的t分布，變方分析中的單因子設計(CRD,RCBD,Latin Square)與複因子設計。迥歸分析(Simple & Multiple regression)的由來及應用。二項分布及卜瓦松分布及非母數分析常用的方法包括chi-square 、rank test等各種方法。

Use SAS software analysis to establish students' processing of data, research and judgment of results, and planning of experimental work (using statistical design methods). First, we will discuss the differences between groups and samples, the causes of possible errors (Type I, Type II) in statistics, the Z distribution used by groups and the t distribution when applied, single factor design (CRD, RCBD, Latin Square) and complex factor design in square analysis. The origin and application of Simple & Multiple regression. Commonly used methods for binomial distribution, Boisson distribution and non-primary analysis include chi-square, rank test and other methods.

1. Triola .M.M., Mario. M .F. 2006. Biostatistics for the Biological and Health Sciences. Pearson Education, Boston.
2.“R 學習筆記”by National Applied Research Laboratories;
http://statlab.nchc.org.tw/rnotes/
3. 生物統計實驗手冊

1. Triola .M.M., Mario. M.F. 2006. Biostatistics for the Biological and Health Sciences. Pearson Education, Boston.
2. “R Study Notes” by National Applied Research Laboratories;
http://statlab.nchc.org.tw/rnotes/
3. Biostatistics Laboratory Manual