Contributor(s)
Macquarie University. Department of StatisticsKeywords
130100 Education Systemsweb-based statistical learning system, experiential learning, statistical software
web-based statistical learning system
experiential learning
statistical software
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http://hdl.handle.net/1959.14/88924Abstract
A need was identified for a statistical learning system that combines a statistical package offering all standard statistical procedures together with a system that helps students to learn the rudiments of statistics through experiential learning. The WebStat Data Analysis and Learning System, a web-based student learning system, is designed to fulfill this need. Currently, the system can handle large data sets from a range of sources and perform all standard and commonly used statistical procedures such as descriptive statistics, regression analyses, and more sophisticated statistical modelling such as Generalised Linear Models (GLM). WebStat utilises the program R, one of the most sophisticated and extensive statistical programs available. It can be used by many students, particularly non-statistics research students. WebStat can be further developed to suit a wide range of users. In this paper, we describe and discuss the advantages of using WebStat as a learning tool, along with identifying the main features of and possible improvements to the current design.8 page(s)
Date
2007Type
conference paperIdentifier
oai:minerva64:mq:9252http://hdl.handle.net/1959.14/88924
mq:9252
mq-rm-2007001408
ISBN
090855771XCollections
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