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Teaching students to estimate complex probabilities of board game events through simulation
Author(s) -
Lyford Alex,
Czekanski Michael
Publication year - 2020
Publication title -
teaching statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.425
H-Index - 13
eISSN - 1467-9639
pISSN - 0141-982X
DOI - 10.1111/test.12235
Subject(s) - probabilistic logic , computer science , context (archaeology) , sample (material) , class (philosophy) , simple (philosophy) , conjunction (astronomy) , human–computer interaction , artificial intelligence , geography , philosophy , chemistry , physics , archaeology , epistemology , chromatography , astronomy
Students are typically introduced to probability through calculating simple events like flipping a coin. While these calculations can be done by hand, more complex probabilistic events, both in class and in the real world, require the use of computers. In this paper, we introduce a new tool—an R shiny web app and associated CRAN package based on the board game “CamelUp”—to help students explore these probability calculations through simulation in a fun context. Through this app and in conjunction with the board game Camel Up, we present some sample activities for helping students better understand and make in‐game probabilistic decisions.