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Teaching Statistical Thinking in the Data Deluge

In: Mit Werkzeugen Mathematik und Stochastik lernen – Using Tools for Learning Mathematics and Statistics

Author

Listed:
  • Robert Gould

    (University of California, Los Angeles, Department of Statistics)

  • Mine Çetinkaya-Rundel

    (Duke University, Department of Statistical Science)

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.

Suggested Citation

  • Robert Gould & Mine Çetinkaya-Rundel, 2014. "Teaching Statistical Thinking in the Data Deluge," Springer Books, in: Thomas Wassong & Daniel Frischemeier & Pascal R. Fischer & Reinhard Hochmuth & Peter Bender (ed.), Mit Werkzeugen Mathematik und Stochastik lernen – Using Tools for Learning Mathematics and Statistics, edition 127, chapter 0, pages 377-391, Springer.
    • Handle: RePEc:spr:sprchp:978-3-658-03104-6_27
    DOI: 10.1007/978-3-658-03104-6_27
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