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Colindres, Carlos A. Mejía; Peters, Stephanie – Mathematics Teacher, 2019
According to the conceptual framework for K-grade 12 statistics education introduced in the 2007 Guidelines for Assessment and Instruction in Statistics Education (GAISE) report, students can be located at one of three developmental levels of statistical literacy: A, B, or C. These levels are independent of age and grade level, so, in theory,…
Descriptors: Mathematics Instruction, Probability, Mathematics Teachers, Grade 8
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Lu, Yonggang; Zheng, Qiujie; Quinn, Daniel – Journal of Statistics and Data Science Education, 2023
We present an instructional approach to teaching causal inference using Bayesian networks and "do"-Calculus, which requires less prerequisite knowledge of statistics than existing approaches and can be consistently implemented in beginner to advanced levels courses. Moreover, this approach aims to address the central question in causal…
Descriptors: Bayesian Statistics, Learning Motivation, Calculus, Advanced Courses
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Gonzalez, Michel; Girotto, Vittorio – Cognition, 2011
Young children are able to judge which of two possibilities is more likely to occur when these possibilities are characterized by a simple property, like color ("Is it more likely to draw a red chip or a blue chip?"). Here we ask whether they can do so when the possibilities concern a relation between simple properties ("Is it more likely to draw…
Descriptors: Probability, Prediction, Young Children, Color