Dynamic, Interactive Trees and Icon Arrays for Visualizing Risks in Civic Statistics

Laura Martignon (), Daniel Frischemeier (), Michelle McDowell () and Christoph Till
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Laura Martignon: Institute for Mathematics and Computing, Ludwigsburg University of Education
Daniel Frischemeier: University of Münster
Michelle McDowell: University of Potsdam
Christoph Till: Eichwald-Realschule, Sachsenheim

Chapter Chapter 19 in Statistics for Empowerment and Social Engagement, 2022, pp 477-501 from Springer

Abstract: Abstract Through our lives we face risks which may appear scary and threatening. Estimating risks is often experienced as difficult. This is important when we make decisions about how to take actions and order our lives. In many cases risks can be measured based on statistical evidence. However, such measures may be difficult to grasp. Sometimes the difficulties are intrinsic and sometimes the difficulties may be inherent in the representations and formalisms used to represent them. In this chapter we describe particular practices for understanding features of civic statistics and for communicating risks and uncertainties visually, using simple, transparent representations, which foster intuition and are easily grasped. These tools become handy for modelling risky situations and making decisions that can lead to better informed action. Children should acquire basic skills for dealing with risks and in this chapter we intend to show that this can be done in a playful way and that primary school students can acquire the first elements of riskRisk literacy.

Keywords: Civic statistics; Risk; Uncertainty; Conditional probabilities; Risk reduction; Natural frequencies; Icon arrays (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-20748-8_19

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DOI: 10.1007/978-3-031-20748-8_19

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