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Journal of Statistics Education Volume 27, 2019 - Issue 2
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Articles

Introducing Bayesian Analysis With m&m's®: An Active-Learning Exercise for Undergraduates

Gwendolyn EadieDepartment of Astronomy, University of Washington, Seattle, WA; ;eScience Institute, Seattle, WA; ;DIRAC Institute, University of Washington, Seattle, WA; Correspondence[email protected]
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,
Daniela HuppenkothenDepartment of Astronomy, University of Washington, Seattle, WA; ;eScience Institute, Seattle, WA; ;DIRAC Institute, University of Washington, Seattle, WA; View further author information
,
Aaron SpringfordWeyerhaeuser Company, Seattle, WA; View further author information
&
Tyler McCormickeScience Institute, Seattle, WA; ;Department of Statistics, University of Washington, Seattle, WA; ;Department of Sociology, University of Washington, Seattle, WAView further author information
Pages 60-67 | Published online: 14 Jun 2019

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Read on this site (6)

Nobuyuki Hanaki, Jan R. Magnus & Donghoon Yoo. (2023) Statistics and Common Sense. Journal of Statistics and Data Science Education 31:3, pages 295-304.
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Qing Wang & Xizhen Cai. (2023) Active-Learning Class Activities and Shiny Applications for Teaching Support Vector Classifiers. Journal of Statistics and Data Science Education 0:0, pages 1-15.
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Mine Dogucu & Jingchen Hu. (2022) The Current State of Undergraduate Bayesian Education and Recommendations for the Future. The American Statistician 76:4, pages 405-413.
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Andrew Hoegh. (2020) Why Bayesian Ideas Should Be Introduced in the Statistics Curricula and How to Do So. Journal of Statistics Education 28:3, pages 222-228.
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Jingchen Hu. (2020) A Bayesian Statistics Course for Undergraduates: Bayesian Thinking, Computing, and Research. Journal of Statistics Education 28:3, pages 229-235.
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Xizhen Cai & Qing Wang. (2020) Educational Tool and Active-Learning Class Activity for Teaching Agglomerative Hierarchical Clustering. Journal of Statistics Education 28:3, pages 280-288.
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Articles from other publishers (4)

M. Shaheen, N. Naheed & A. Ahsan. (2023) Relevance-diversity algorithm for feature selection and modified Bayes for prediction. Alexandria Engineering Journal 66, pages 329-342.
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Jingchen Hu & Mine Dogucu. (2022) Content and computing outline of two undergraduate Bayesian courses: Tools, examples, and recommendations. Stat 11:1.
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David Wheatley, Tiffany Bayley & Mojtaba Araghi. (2022) Able Construction: A Spreadsheet Activity for Teaching Bayes’ Theorem. Operations Research Forum 3:1.
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Sang-Yeon Kim, Emily Godager, Benjamin Davis & Irkown Jeong. (2021) Detective Activity Comparing Frequentist (NHST) and Bayesian Methods: Introducing Bayesian Concepts to Students of Communication. Asian Communication Research 18:1, pages 22-33.
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