本課程內容包括生物統計學概念、描述統計、抽樣分布、區間估計、 t 檢定與變異數分析等常用統計方法。使同學能運用 EXCEL進行資料分析。課程內容理論及實例並重，期望同學修畢此課後，能運用所學之統計知識利用套裝軟體分析資料，能解讀與撰寫統計報告，進而將基本的統計分析方法應用於於食品科學及相關領域研究。

The content of this course includes common statistical methods such as biostatistics concepts, descriptive statistics, sampling distribution, interval estimation, t-test and variation analysis. Enable students to use EXCEL for data analysis. The course content pays equal attention to theory and practical examples. It is expected that after completing this course, students will be able to use the statistical knowledge they have learned to analyze data using packaged software, interpret and write statistical reports, and then apply basic statistical analysis methods to research in food science and related fields.

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.

生物統計學 (第2版) 作者/國立屏東科技大學生物統計小組 ; 出版社/新文京開發出版股份有限公司; 出版日期/2022/05/10

Biostatistics (2nd edition) Author/Biostatistics Group of National Pingtung University of Science and Technology; Publisher/Xinwenjing Development Publishing Co., Ltd.; Publication date/2022/05/10