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Marek Arendarczyk; Tomasz J. Kozubowski; Anna K. Panorska – Journal of Statistics and Data Science Education, 2023
We provide tools for identification and exploration of data with very large variability having power law tails. Such data describe extreme features of processes such as fire losses, flood, drought, financial gain/loss, hurricanes, population of cities, among others. Prediction and quantification of extreme events are at the forefront of the…
Descriptors: Natural Disasters, Probability, Regression (Statistics), Statistical Analysis
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Huijser, Stefan; Taatgen, Niels A.; van Vugt, Marieke K. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2021
Preparing for the future during ongoing activities is an essential skill. Yet it is currently unclear to what extent we can prepare for the future in parallel with another task. In two experiments, we investigated how characteristics of a present task influenced whether and when participants prepared for the future, as well as its usefulness. We…
Descriptors: Futures (of Society), Cognitive Processes, Planning, Short Term Memory
Watson, Jane, Ed.; Beswick, Kim, Ed. – Mathematics Education Research Group of Australasia, 2007
This is a record of the proceedings of the 30th annual conference of the Mathematics Education Research Group of Australasia (MERGA). The theme of the conference is "Mathematics: Essential research, essential practice." The theme draws attention to the importance of developing and maintaining links between research and practice and…
Descriptors: Teacher Education, Secondary School Mathematics, Concept Mapping, Student Teachers