دورية أكاديمية
Introducing Bayesian Analysis With m&m's®: An Active-Learning Exercise for Undergraduates
العنوان: | Introducing Bayesian Analysis With m&m's®: An Active-Learning Exercise for Undergraduates |
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المؤلفون: | Gwendolyn Eadie, Daniela Huppenkothen, Aaron Springford, Tyler McCormick |
المصدر: | Journal of Statistics Education, Vol 27, Iss 2, Pp 60-67 (2019) |
بيانات النشر: | Taylor & Francis Group, 2019. |
سنة النشر: | 2019 |
المجموعة: | LCC:Special aspects of education LCC:Probabilities. Mathematical statistics |
مصطلحات موضوعية: | active-learning, bayesian methods, education, eliciting priors, inference, Special aspects of education, LC8-6691, Probabilities. Mathematical statistics, QA273-280 |
الوصف: | We present an active-learning strategy for undergraduates that applies Bayesian analysis to candy-covered chocolate m&m’s®. The exercise is best suited for small class sizes and tutorial settings, after students have been introduced to the concepts of Bayesian statistics. The exercise takes advantage of the nonuniform distribution of m&m’s® colors, and the difference in distributions made at two different factories. In this paper, we provide the intended learning outcomes, lesson plan and step-by-step guide for instruction, and open-source teaching materials. We also suggest an extension to the exercise for the graduate level, which incorporates hierarchical Bayesian analysis. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 1069-1898 10691898 |
العلاقة: | https://doaj.org/toc/1069-1898Test |
DOI: | 10.1080/10691898.2019.1604106 |
الوصول الحر: | https://doaj.org/article/c029787ebaf54923ad381ad86703daa6Test |
رقم الانضمام: | edsdoj.029787ebaf54923ad381ad86703daa6 |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 10691898 |
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DOI: | 10.1080/10691898.2019.1604106 |