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Carol Fabby – ProQuest LLC, 2021
Having the ability to make informed decisions about health, financial investments, and even the weather are all important to our everyday lives. However, most people receive no formal education on how to read and understand data presented in formats such as data tables and graphs. Research within the field of statistical reasoning demonstrates a…
Descriptors: Statistics Education, Probability, Algebra, Calculus
Batista, Rita; Borba, Rute; Henriques, Ana – Statistics Education Research Journal, 2022
This study aims to analyse the reasoning that children and adults with the same school level use to assess and justify the fairness of games, considering aspects of probability such as randomness, sample space, and comparison of probabilities. Data collection included a Piagetian clinical interview based on games of chance. The results showed that…
Descriptors: Probability, Statistics Education, Intervention, Thinking Skills
Nabbout-Cheiban, Marie – International Journal of Research in Undergraduate Mathematics Education, 2017
In this article we study the conceptions of an American and a French group of undergraduate pre-service teachers regarding the concept of independent events. Specifically, we study the role that intuition plays in their answers, ascertain the presence of probabilistic biases, and compare the findings with previous results collected on a different…
Descriptors: Intuition, Misconceptions, Case Studies, Preservice Teachers
Heyvaert, Mieke; Deleye, Maarten; Saenen, Lore; Van Dooren, Wim; Onghena, Patrick – International Journal of Research & Method in Education, 2018
When studying a complex research phenomenon, a mixed methods design allows to answer a broader set of research questions and to tap into different aspects of this phenomenon, compared to a monomethod design. This paper reports on how a sequential equal status design (QUAN ? QUAL) was used to examine students' reasoning processes when solving…
Descriptors: High School Students, Problem Solving, Probability, Mixed Methods Research
Griffiths, Thomas L.; Chater, Nick; Norris, Dennis; Pouget, Alexandre – Psychological Bulletin, 2012
Bowers and Davis (2012) criticize Bayesian modelers for telling "just so" stories about cognition and neuroscience. Their criticisms are weakened by not giving an accurate characterization of the motivation behind Bayesian modeling or the ways in which Bayesian models are used and by not evaluating this theoretical framework against specific…
Descriptors: Bayesian Statistics, Psychology, Brain, Models
Williams, Joseph J.; Griffiths, Thomas L. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2013
Errors in detecting randomness are often explained in terms of biases and misconceptions. We propose and provide evidence for an account that characterizes the contribution of the inherent statistical difficulty of the task. Our account is based on a Bayesian statistical analysis, focusing on the fact that a random process is a special case of…
Descriptors: Experimental Psychology, Bias, Misconceptions, Statistical Analysis
Gurbuz, Ramazan; Birgin, Osman – Computers & Education, 2012
The aim of this study is to determine the effects of computer-assisted teaching (CAT) on remedying misconceptions students often have regarding some probability concepts in mathematics. Toward this aim, computer-assisted teaching materials were developed and used in the process of teaching. Within the true-experimental research method, a pre- and…
Descriptors: Probability, Misconceptions, Conventional Instruction, Grade 7
Van Dooren, Wim; De Bock, Dirk; Depaepe, Fien; Janssens, Dirk; Verschaffel, Lieven – Educational Studies in Mathematics, 2003
Previous research has shown that--due to the extensive attention spent to proportional reasoning in mathematics education--many students have a strong tendency to apply linear or proportional models anywhere, even in situations where they are not applicable. This phenomenon is sometimes referred to as the "illusion of linearity". For example, in…
Descriptors: Misconceptions, Grade 10, Grade 12, Probability