認識資料之類別、分析方法及結論之撰寫。The types of identification data, analysis methods and writing of conclusions.
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.
An Introduction to Biostatistics by Thomas Glover and Kevin Mitchell (Waveland Press, Inc.)
生物統計學入門，沈明來 編著 (九州圖書文物有限公司)
Biostatistics for the Biological and Health Sciences with Statdisk by Marc M. Triola and Mario F. Triola (Pearson Education Limited)
An Introduction to Biostatistics by Thomas Glover and Kevin Mitchell (Waveland Press, Inc.)
Biological Statistics Entrance Door, written by Shen Minglai (Jiuzhou Book Cultural Relics Co., Ltd.)
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 Regular achievements |
30 | 包含出席率 習作 及報告 |
