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 commonly used statistical methods such as biological statistical concepts, description statistics, sampling distribution, area estimation, t-confirmation and variation analysis. Enable students to use EXCEL for data analysis. The course content theory and examples are important. I hope that after studying this course, I can use the statistical knowledge I learned to analyze data using the package software, and can interpret and write statistical reports, so as to apply basic statistical analysis methods to food science and related research.

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。

Using sas software analysis, students can establish a plan for processing data data, analysis and analysis of results and practical experiments (using a systematic design method). First, the differences between ethnic groups and samples were investigated, and the possible errors (Type I, Type II) occurred during the statistical analysis, and the Z distribution used by the ethnic groups and the t distribution during application, single factor design (CRD, RCBD, Latin Square) and complex factor design in the variable analysis. The origin and application of Simple & Multiple regression. Common methods for the analysis of two distributions, bovasone distribution and non-matrix 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/National Pingtung University of Science and Technology Biostatistics Group; Publisher/Xinwenjing Development and Publishing Co., Ltd.; Publication Date/2022/05/10