Use of Data Visualisation in the Teaching of Statistics: A New Zealand Perspective


Authors: 
Sharleen Forbes, Jeanette Chapman, John Harraway, Doug Stirling, and Chris Wild
Year: 
2014
URL: 
http://iase-web.org/documents/SERJ/SERJ13(2)_Forbes.pdf
Abstract: 

For many years, students have been taught to visualize data by drawing graphs. Recently, there has been a growing trend to teach statistics, particularly statistical concepts, using interactive and dynamic visualization tools. Free downloadable teaching and simulation software designed specifically for schools, and more general data visualization tools are increasingly being used in New Zealand classrooms. This paper discusses four examples: the use of GenStat for Teaching and Learning Schools and Undergraduate (GTL); Auckland University’s insight and VIT (Visual Inference Tools) for teaching bootstrapping and randomization; the CAST e-books, and the use of data visualization tools to assist learning concepts in official statistics. All these tools are publically available and several are already being used internationally.
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The CAUSE Research Group is supported in part by a member initiative grant from the American Statistical Association’s Section on Statistics and Data Science Education