由古典概型引入贝叶斯公式的一种教学设计  

The design of teaching in Bayes rule introduced by classical probability model

作　　者：刘倩[1] 

机构地区：[1]西安电子科技大学数学与统计学院,陕西西安710071

出　　处：《高师理科学刊》2016年第6期56-60,共5页Journal of Science of Teachers＇College and University

基　　金：国家自然科学基金资助项目(61105065);西安电子科技大学数学与统计学院概率论与数理统计精品开放课程建设项目

摘　　要：对贝叶斯公式的教学方案进行了设计,通过引入简单实例,尝试应用学生熟悉的古典概型的计算公式导出贝叶斯定理.结合案例直观解释贝叶斯公式中所包含的先验信息和后验信息等概念,使学生更容易理解和掌握贝叶斯公式,并逐步理解贝叶斯公式在贝叶斯统计中的重要地位.Gives a plan of teaching design in Bayes rule. By introducing a simple example and integrating the classical probability model with which students are familiar,Bayes theorem is obtained. Combining cases,some concepts such as the priori and the posteriori information are intuitively explained,which makes it easier for students to understand and master the Bayesian formula and understand Bayes rule′s important position in Bayesian statistics gradually.

关 键 词：贝叶斯公式 古典概型 教学设计 

分 类 号：O211.9[理学—概率论与数理统计] G642.0[理学—数学]