A toolbox to demystify probabilistic and statistical paradoxes

Frontiers in Education

Education

Susanne Spies¹  Alexander Schnurr²  Riko Kelter² 

[1] Philosophy of Mathematics, Department of Mathematics, University of Siegen, Siegen, Germany;Stochastic Processes and Their Applications, Department of Mathematics, University of Siegen, Siegen, Germany;

关键词: probabilistic paradox;    statistical paradox;    modeling cycle;    probabilistic modeling;    probabilistic intuition;    Simpson's paradox;    Monty Hall paradox;   

DOI  :  10.3389/feduc.2023.1212419

 received in 2023-04-26, accepted in 2023-07-18,  发布年份 2023

来源: Frontiers

【 摘 要 】

There is a variety of empirical evidence that the coverage of paradoxes in mathematics education helps to support thorough understanding of probabilistic and statistical concepts. However, existing literature often focuses on extensive analysis of a specific paradox, provides new perspectives or an analysis from a different angle. Often neglected aspects in this context are common features between different paradoxes and the fact, that the same situation might look paradoxical to different people for entirely different reasons. We develop a toolbox to demystify paradoxes in probability and statistics. Therefore, we first analyze in which steps of stochastic modeling one might be faced with a paradoxical situation. Secondly, we build on a representative selection of well-known paradoxes and isolate the techniques and methods which help to explain why people find the paradox surprising, identify the class of scenarios where the paradox may occur and make a choice between the seemingly contradictory conclusions. Thirdly, we present the toolbox, which helps to demystify various paradoxical situations. This helps teachers to chose appropriate problems and students to find the right method to resolve these problems. While the developed toolbox is not exhaustive, it helps to dissect the anatomy of probabilistic and statistical paradoxes.

【 授权许可】

Unknown   
Copyright © 2023 Kelter, Schnurr and Spies.