Abstract
Engaging with data is at the heart of statistical thinking, but readily-available data are now complex and large, and so statistical thinking is perhaps also more complex than in the recent past. We discuss an undergraduate event, DataFest, as a means for supplementing classroom approaches to teaching statistical thinking, and discuss lessons learned from observations during two DataFests held at two universities in the United States.
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© 2014 Springer Fachmedien Wiesbaden
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Gould, R., Çetinkaya-Rundel, M. (2014). Teaching Statistical Thinking in the Data Deluge. In: Wassong, T., Frischemeier, D., Fischer, P., Hochmuth, R., Bender, P. (eds) Mit Werkzeugen Mathematik und Stochastik lernen – Using Tools for Learning Mathematics and Statistics. Springer Spektrum, Wiesbaden. https://doi.org/10.1007/978-3-658-03104-6_27
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DOI: https://doi.org/10.1007/978-3-658-03104-6_27
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Publisher Name: Springer Spektrum, Wiesbaden
Print ISBN: 978-3-658-03103-9
Online ISBN: 978-3-658-03104-6
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