了解資料與數據之類別、統計分析方法及結論之撰寫。Understand the categories of data and data, statistical analysis methods and conclusion writing.
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 reasons for possible errors (Type I, Type II) in statistics, the Z distribution used by groups and the t distribution when applied, and the single-factor design (CRD, RCBD) in square analysis. ,Latin Square) and complex factorial design. 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.
生物統計學入門(第七版)，沈明來 編著 (九州圖書文物有限公司)。
An Introduction to Biostatistics by Thomas Glover and Kevin Mitchell (Waveland Press, Inc.)
Biostatistics for the Biological and Health Sciences with Statdisk by Marc M. Triola and Mario F. Triola (Pearson Education Limited).
Introduction to Biostatistics (Seventh Edition), edited by Shen Minglai (Jiuzhou Book and Cultural Relics Co., Ltd.).
An Introduction to Biostatistics by Thomas Glover and Kevin Mitchell (Waveland Press, Inc.)
Biostatistics for the Biological and Health Sciences with Statdisk by Marc M. Triola and Mario F. Triola (Pearson Education Limited).
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 期中考期中考 midterm exam |
35 | |
| 期末考期末考 final exam |
35 | |
| 平時成績平時成績 usual results |
30 | 含出席紀錄、作業成績與統計軟體操作 |
