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0634 - 生物統計學 Biometrics


教育目標 Course Target

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 good students' academic awareness and to cultivate students' ability to independently design practical experience and analyze data. The course will start with discussing scientific methods and introduce various statistical methods, including descriptive statistics, t-test, variation analysis, related analysis, replication analysis, category data analysis and masterless statistics.


課程概述 Course Description

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 in statistical measurement (Type I, Type II) are caused by Z distribution used by ethnic groups and t distribution during application, and single factor design in variable analysis (CRD, RCBD ,Latin Square) and complex factor design. 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.


參考書目 Reference Books

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 Learning Notes" by National Applied Research Laboratories;
http://statlab.nchc.org.tw/rnotes/
3. Biostatistical experiment manual


評分方式 Grading

評分項目 Grading Method 配分比例 Grading percentage 說明 Description
The first and second examsThe first and second exams
the first and second exams
60 30% x 2= 60%
Final examFinal exam
final exam
30
QuizQuiz
quiz
5
ParticipationParticipation
participation
5

授課大綱 Course Plan

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Course Information

Description

學分 Credit:3-0
上課時間 Course Time:Thursday/1,Friday/3,4[LS114]
授課教師 Teacher:林宜靜
修課班級 Class:生醫組,生態組2
選課備註 Memo:生醫組、生態組併班上課
授課大綱 Course Plan: Open

選課狀態 Attendance

There're now 95 person in the class.
目前選課人數為 95 人。

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