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2147 - 生物統計學 Biometrics


教育目標 Course Target

本課程內容包括生物統計學概念、敘述統計學、機率概論、抽樣分布、推論統計學。使同學能利用EXCEL和SPSS系統即能進行簡單的統計分析與推論。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統計套裝軟體分析資料,瞭解並解釋相關之統計報告,進而將基本的統計分析方法應用於相關領域。 The content of this course includes biostatistics concepts, narrative statistics, introduction to probability, sampling distribution, and inferential statistics. Enable students to use EXCEL and SPSS systems to conduct simple statistical analysis and inference. 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 statistical package software, understand and interpret relevant statistical reports, and then apply basic statistical analysis methods to related fields.


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。
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.


參考書目 Reference Books

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


評分方式 Grading

評分項目 Grading Method 配分比例 Grading percentage 說明 Description
作業作業
Homework
20 每週達到一定的課程進度會搭配相關作業練習,使學生熟悉統計觀念。
課堂互動課堂互動
Classroom interaction
20 課程在重要段落中均會進行課堂互動,以確定學習成效
期中考期中考
midterm exam
30 上機考試
期末考期末考
final exam
30 上機考試

授課大綱 Course Plan

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Course Information

Description

學分 Credit:3-0
上課時間 Course Time:Wednesday/2,3,4[ST021]
授課教師 Teacher:徐雅甄
修課班級 Class:食科系2A
選課備註 Memo:
授課大綱 Course Plan: Open

選課狀態 Attendance

There're now 45 person in the class.
目前選課人數為 45 人。

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