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Using Online Game-Based Simulations to Strengthen Students’ Understanding of Practical Statistical Issues in Real-World Data Analysis

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  • Shonda Kuiper
  • Rodney X. Sturdivant

Abstract

Datasets provided to students are typically carefully chosen and vetted to illustrate a key statistical topic or method. Rarely are real studies and data so straightforward. In addition, carefully curated datasets that are brought into the statistics classroom may not feel realistic to students. We provide several examples of online activities where students can quickly collect their own local data, have input on the goals of the study and draw their own conclusions. These activities focus on core statistical issues that are often challenging to teach with traditional textbooks, such as working with messy data, bias, data relevance, and reliability. This approach to teaching integrates the challenges of data in a way that encourages students to see how easy it can be to inadvertently draw misleading conclusions. These activities are designed to be highly adaptable and have proven effective in a wide variety of introductory and advanced undergraduate courses.[Received December 2014. Revised July 2015.]

Suggested Citation

  • Shonda Kuiper & Rodney X. Sturdivant, 2015. "Using Online Game-Based Simulations to Strengthen Students’ Understanding of Practical Statistical Issues in Real-World Data Analysis," The American Statistician, Taylor & Francis Journals, vol. 69(4), pages 354-361, November.
    • Handle: RePEc:taf:amstat:v:69:y:2015:i:4:p:354-361
    DOI: 10.1080/00031305.2015.1075421
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    References listed on IDEAS

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    1. Robert Gould, 2010. "Statistics and the Modern Student," International Statistical Review, International Statistical Institute, vol. 78(2), pages 297-315, August.
    2. Karyl Whitman & Anthony M. Starfield & Henley S. Quadling & Craig Packer, 2004. "Sustainable trophy hunting of African lions," Nature, Nature, vol. 428(6979), pages 175-178, March.
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    Cited by:

    1. Roger W. Hoerl & Ronald D. Snee, 2017. "Statistical Engineering: An Idea Whose Time Has Come?," The American Statistician, Taylor & Francis Journals, vol. 71(3), pages 209-219, July.

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