دورية أكاديمية

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

التفاصيل البيبلوغرافية
العنوان: Introducing Bayesian Analysis With m&m's®: An Active-Learning Exercise for Undergraduates
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
الوصف
تدمد:10691898
DOI:10.1080/10691898.2019.1604106