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Teaching Statistical Consulting Before Statistical Methodology

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  • Ross H. Taplin

Abstract

This paper outlines and discusses the advantages of an ‘Introduction to Statistical Consulting’ course (ISC) that exposes students to statistical consulting early in their studies. The course is intended for students before, or while, they study their units in statistical techniques, and assumes only a first‐year introductory statistics unit. The course exposes undergraduate students to the application of statistics and helps develop statistical thinking. An important goal is to introduce students to work as a statistician early in their studies because this motivates some students to study statistics further and provides a framework to motivate the learning of further statistical techniques. The ISC has proved popular with students, and this paper discusses the reasons for this popularity and the benefits of an ISC to statistical education and the statistics profession.

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  • Ross H. Taplin, 2003. "Teaching Statistical Consulting Before Statistical Methodology," Australian & New Zealand Journal of Statistics, Australian Statistical Publishing Association Inc., vol. 45(2), pages 141-152, June.
    • Handle: RePEc:bla:anzsta:v:45:y:2003:i:2:p:141-152
    DOI: 10.1111/1467-842X.00270
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    Cited by:

    1. Ross Taplin, 2007. "Enhancing statistical education by using role‐plays of consultations," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(2), pages 267-300, March.
    2. repec:jss:jstsof:16:i11 is not listed on IDEAS
    3. Michael Windmann & Göran Kauermann, 2007. "Statistical consulting at German universities: Results of a survey," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 91(4), pages 367-378, December.
    4. Byran J. Smucker & A. John Bailer, 2015. "Beyond Normal: Preparing Undergraduates for the Work Force in a Statistical Consulting Capstone," The American Statistician, Taylor & Francis Journals, vol. 69(4), pages 300-306, November.
    5. Dinov, Ivo D., 2006. "SOCR: Statistics Online Computational Resource," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 16(i11).

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