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Lucy D'Agostino McGowan; Travis Gerke; Malcolm Barrett – Journal of Statistics and Data Science Education, 2024
This article introduces a collection of four datasets, similar to Anscombe's quartet, that aim to highlight the challenges involved when estimating causal effects. Each of the four datasets is generated based on a distinct causal mechanism: the first involves a collider, the second involves a confounder, the third involves a mediator, and the…
Descriptors: Statistics Education, Programming Languages, Statistical Inference, Causal Models
Dvir, Michal; Ben-Zvi, Dani – Mathematical Thinking and Learning: An International Journal, 2023
Employing a statistical modeling inspired pedagogy is becoming a widespread practice in the statistics education community. Many have incorporated the practice of formulating conjectures in their modeling-enhanced educational designs and have reported on its benefits. We further elucidate the mechanism through which students' conjecturing may be…
Descriptors: Mathematics Instruction, Teaching Methods, Statistics Education, Instructional Design
Peer reviewedGeiger, Vince; Wallace, Robyn – Australian Mathematics Teacher, 1987
Presents teaching activities that are intended to be used to teach statistics to students in a high school mathematics program. Includes a worksheet of eight discussion questions on statistics, four activities on sampling bias, two experiments on sampling techniques, and a game known as "capture-recapture." (TW)
Descriptors: Mathematical Concepts, Mathematics Curriculum, Mathematics Education, Mathematics Instruction

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