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Introduction to Probability: Bison Hold’em Poker Game

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  • Chun-Miin (Jimmy) Chen

    (Freeman College of Management, Bucknell University, Lewisburg, Pennsylvania 17837)

Abstract

Probability literacy is the foundation of business analytics. Although traditional textbook probability exercises may be convenient, students might have insufficient life experience to contextualize them. Aiming to stimulate students’ interest in learning probability, this article presents an interactive pedagogical game based on Texas hold’em poker. In order to compete with some robots in the game, the students must earn in-game currency by answering a set of poker-related probability questions covering general conditional probability and Bayes’ rule. Using this game and framework, we achieve the goal of introducing the basics of probability to students in a fun and immersive way. Student feedback has shown that this interactive pedagogical activity effectively and efficiently advances business analytics education. The activity is designed for undergraduate students in business analytics courses. The game is developed using Visual Basic for Applications for Microsoft Excel and can be easily implemented in class. Regardless of student’s prior exposure to Texas hold’em, they can easily play along and enjoy the game while learning.

Suggested Citation

  • Chun-Miin (Jimmy) Chen, 2020. "Introduction to Probability: Bison Hold’em Poker Game," INFORMS Transactions on Education, INFORMS, vol. 20(3), pages 154-164, May.
  • Handle: RePEc:inm:orited:v:20:y:2020:i:3:p:154-164
    DOI: 10.1287/ited.2019.0222
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    References listed on IDEAS

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    1. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    2. Jeffrey E. Teich & Hannele Wallenius & Jyrki Wallenius, 2005. "The Bread/Flour/Grain Trading Game: Bidding in and Designing Auction Events," INFORMS Transactions on Education, INFORMS, vol. 5(3), pages 42-54, May.
    3. Matthew D. Bailey & Michael J. Fry, 2010. "What Are the Odds? A Structured Approach for Unstructured Problems," INFORMS Transactions on Education, INFORMS, vol. 10(2), pages 45-52, January.
    4. David H. Reiley & Michael B. Urbancic & Mark Walker, 2008. "Stripped-Down Poker: A Classroom Game with Signaling and Bluffing," The Journal of Economic Education, Taylor & Francis Journals, vol. 39(4), pages 323-341, September.
    5. Gary Smith & Michael Levere & Robert Kurtzman, 2009. "Poker Player Behavior After Big Wins and Big Losses," Management Science, INFORMS, vol. 55(9), pages 1547-1555, September.
    6. Timothy C. Y. Chan, 2013. "Deal or No Deal: A Spreadsheet Game to Introduce Decision Making Under Uncertainty," INFORMS Transactions on Education, INFORMS, vol. 14(1), pages 53-60, September.
    7. Florencia Jaureguiberry & Mariano Tappata, 2015. "Game—The Hotel Game: Pricing Simulations with Opaque and Transparent Channels," INFORMS Transactions on Education, INFORMS, vol. 16(1), pages 24-38, September.
    8. Michael F. Gorman & Ronald K. Klimberg, 2014. "Benchmarking Academic Programs in Business Analytics," Interfaces, INFORMS, vol. 44(3), pages 329-341, June.
    9. J. Eric Bickel, 2004. "Teaching Decision Making with Baseball Examples," INFORMS Transactions on Education, INFORMS, vol. 5(1), pages 2-9, September.
    10. Barr, G. D. I. & Dowie, K., 2011. "Swivelling Probabilities—The Winning Hand at Poker," The American Statistician, American Statistical Association, vol. 65(3), pages 170-176.
    11. Peter C. Bell, 2000. "Teaching Business Statistics with Microsoft Excel," INFORMS Transactions on Education, INFORMS, vol. 1(1), pages 18-26, September.
    12. Constance H. McLaren & Bruce J. McLaren, 2014. "Possible or Probable? An Experiential Approach to Probability Literacy," INFORMS Transactions on Education, INFORMS, vol. 14(3), pages 129-136, May.
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    Cited by:

    1. David Wheatley & Tiffany Bayley & Mojtaba Araghi, 2022. "Able Construction: A Spreadsheet Activity for Teaching Bayes’ Theorem," SN Operations Research Forum, Springer, vol. 3(1), pages 1-18, March.

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