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What I See Is Not Quite the Way It Really Is: Students' Emergent Reasoning about Sampling Variability
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Pfannkuch, Maxine; Arnold, Pip; Wild, Chris J. – Educational Studies in Mathematics, 2015
Currently, instruction pays little attention to the development of students' sampling variability reasoning in relation to statistical inference. In this paper, we briefly discuss the especially designed sampling variability learning experiences students aged about 15 engaged in as part of a research project. We examine assessment and…
Descriptors: Statistical Inference, Statistical Analysis, Sampling, Interviews
"Bootstrapping" Students' Understanding of Statistical Inference
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Pfannkuch, Maxine; Forbes, Sharleen; Harraway, John; Budgett, Stephanie; Wild, Chris – Teaching and Learning Research Initiative, 2013
This report summarizes the research activities and findings from the Teaching and Learning Research Initiative (TLRI)-funded project conducted in Year 13, introductory university and workplace classes, entitled "'Bootstrapping' Statistical Inferential Reasoning". The project was a 2-year collaboration among three statisticians, two…
Descriptors: Sampling, Statistical Inference, Higher Education, Workplace Learning
Enhancing Students' Inferential Reasoning: From Hands-On to "Movies"
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Arnold, Pip; Pfannkuch, Maxine; Wild, Chris J.; Regan, Matt; Budgett, Stephanie – Journal of Statistics Education, 2011
Computer simulations and animations for developing statistical concepts are often not understood by beginners. Hands-on physical simulations that morph into computer simulations are teaching approaches that can build students' concepts. In this paper we review the literature on visual and verbal cognitive processing and on the efficacy of…
Descriptors: Foreign Countries, Statistics, Learning Theories, Cues