z-logo
Premium
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.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here