ERIC Number: EJ1282219
Record Type: Journal
Publication Date: 2020
Pages: 8
Abstractor: As Provided
ISBN: N/A
ISSN: EISSN-1069-1898
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Teaching the Complexity of Dependence with the Triplet Game
Burke, Jon; Goukasian, Levon; Shearer, Robert
Journal of Statistics Education, v28 n3 p326-333 2020
Students often struggle with the concept of dependence of events or random variables. We present a simple coin flipping game that yields surprising results due to the dependencies within the game. The game is simple enough for young children to understand and play, yet complex enough to yield results that are counterintuitive to even most graduate students. We discuss how to implement the game in a classroom, suggest two problems from the game for students to solve, and present several solutions to the problems.
Descriptors: Statistics Education, Teaching Methods, Games, Problem Solving, Monte Carlo Methods, Spreadsheets, Intuition
Taylor & Francis. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
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