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Beyond Normal: Preparing Undergraduates for the Work Force in a Statistical Consulting Capstone

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  • Byran J. Smucker
  • A. John Bailer

Abstract

In this article we chronicle the development of the undergraduate statistical consulting course at Miami University, from canned to client-based projects, and argue that if the course is well designed with suitable mentoring, students can perform remarkably sophisticated analyses of real-world data problems that require solutions beyond the methods encountered in previous classes. We review the historical context in which the consulting class evolved, describe the logistics of implementing it, and review assessment and student reaction to the course. We also illustrate the types of challenging projects the students are confronted with via two case studies and relate the skills learned and reinforced in this consulting class model to the skills demanded in the modern statistical work force. This course also provides an opportunity to strengthen and nurture key points from the new American Statistical Association guidelines for undergraduate programs: namely, communicating analyses of real and complex data that require the application of diverse statistical models and approaches. Supplementary materials for this article are available online.[Received December 2014. Revised July 2015.]

Suggested Citation

  • 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.
    • Handle: RePEc:taf:amstat:v:69:y:2015:i:4:p:300-306
    DOI: 10.1080/00031305.2015.1077731
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    References listed on IDEAS

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    1. 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.
    2. Legler, Julie & Roback, Paul & Ziegler-Graham, Kathryn & Scott, James & Lane-Getaz, Sharon & Richey, Matthew, 2010. "A Model for an Interdisciplinary Undergraduate Research Program," The American Statistician, American Statistical Association, vol. 64(1), pages 59-69.
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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.
    2. Joel B. Greenhouse & Howard J. Seltman, 2018. "On Teaching Statistical Practice: From Novice to Expert," The American Statistician, Taylor & Francis Journals, vol. 72(2), pages 147-154, April.
    3. Estrada, Samantha & Floren, Michael & Harding, Justin & Wroblewski, Matthew, 2021. "What is your research question? A mixed methods evaluation of an academic statistical consulting center," Evaluation and Program Planning, Elsevier, vol. 89(C).

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