Statistical literacy for classification under risk: an educational perspective

Laura Martignon () and Kathryn Laskey ()
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Laura Martignon: Ludwigsburg University of Education
Kathryn Laskey: George Mason University

AStA Wirtschafts- und Sozialstatistisches Archiv, 2019, vol. 13, issue 3, No 7, 269-278

Abstract: Abstract After a brief description of the four components of risk literacy and the tools for analyzing risky situations, decision strategies are introduced, These rules, which satisfy tenets of Bounded Rationality, are called fast and frugal trees. Fast and frugal trees serve as efficient heuristics for decision under risk. We describe the construction of fast and frugal trees and compare their robustness for prediction under risk with that of Bayesian networks. In particular, we analyze situations of risky decisions in the medical domain. We show that the performance of fast and frugal trees does not fall too far behind that of the more complex Bayesian networks.

Keywords: Statistical literacy; Risk literacy; Components; Uncertainty; Decision trees; A21; A22; C00; I21 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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DOI: 10.1007/s11943-019-00259-3

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