Sangam: A Confluence of Knowledge Streams

Computing in the Mathematical Statistics Course

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dc.contributor Operations Research
dc.creator Buttrey, Samuel E.
dc.creator Nolan, Deborah
dc.creator Lang, Duncan Temple
dc.date August 5-9, 2001
dc.date 2014-05-16T18:49:50Z
dc.date 2014-05-16T18:49:50Z
dc.date 2001-08
dc.date.accessioned 2022-05-19T01:15:17Z
dc.date.available 2022-05-19T01:15:17Z
dc.identifier http://hdl.handle.net/10945/41281
dc.identifier.uri http://localhost:8080/xmlui/handle/CUHPOERS/64054
dc.description Proceedings of the Annual Meeting of the American Statistical Association, August 5-9, 2001
dc.description We have developed a model for teaching math- ematical statistics through detailed case studies, and we have had some success with students us- ing the R and S-Plus languages to analyze data from the cases and to perform simulation studies of statistical concepts underlying the methods used in the analyses. We describe a few examples of these simulation studies, and explain how we use the computer to bridge the gap between statistical theory and practice and to develop understanding of the the basic ideas in mathematical statistics. Recently, we have embarked on a new approach that builds on the work of the Omegahat project (www.omegahat.org), which has embedded the R statistical software in the Netscape browser. We are designing interactive environments for browsers that use R for performing computations and plot- ting. The goal is to develop electronic activities that will make it easier for students to explore and develop understanding of the concepts of statistics and that will connect these concepts to the practice of statistics.
dc.format application/pdf
dc.rights This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
dc.subject Education
dc.subject Interactive documents
dc.subject Web
dc.title Computing in the Mathematical Statistics Course
dc.type Article


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