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Using Graphics and Simulation to Teach Statistical Concepts

 

作者: MervynG. Marasinghe,   WilliamQ. Meeker,   Dianne Cook,   Tae-Sung Shin,  

 

期刊: The American Statistician  (Taylor Available online 1996)
卷期: Volume 50, issue 4  

页码: 342-351

 

ISSN:0003-1305

 

年代: 1996

 

DOI:10.1080/00031305.1996.10473564

 

出版商: Taylor & Francis Group

 

关键词: Dynamic graphics;Education;Monte Carlo;Simulation;Teaching.

 

数据来源: Taylor

 

摘要:

The value to students ofactivelearning has been recognized. This has led to the wide use of assignments in statistical methods courses where students use statistical software and computing equipment to analyze data. These assignments enable most students to master themechanicsof data analysis. The amount of experience that a student can get with such assignments is, however, limited. A sizable proportion of students have difficulty grasping some of the manyconceptsthat are introduced in these courses. Nevertheless, these concepts are important for effective modeling and data analysis, and instructors should focus on them. By using current computing technology, it is possible to supplement standard data analysis assignments and algebraic derivations and have students become actively involved in the learning of important statistical concepts. The learning experience can be enhanced by giving students additional statistical “experiences” by using combinations of carefully designed and implemented multiple simulations and dynamic graphics to illustrate key ideas. In this article we describe and illustrate several instructional modules and corresponding software that have been designed to assist instructors in teaching introductory statistics courses.

 

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