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Dierdorp, Adri; Bakker, Arthur; Eijkelhof, Harrie; van Maanen, Jan – Mathematical Thinking and Learning: An International Journal, 2011
To support 11th-grade students' informal inferential reasoning, a teaching and learning strategy was designed based on authentic practices in which professionals use correlation or linear regression. These practices included identifying suitable physical training programmes, dyke monitoring, and the calibration of measurement instruments. The…
Descriptors: Statistical Inference, Abstract Reasoning, Grade 11, Secondary School Students
Bakker, Arthur; Derry, Jan – Mathematical Thinking and Learning: An International Journal, 2011
This theoretical paper relates recent interest in informal statistical inference (ISI) to the semantic theory termed inferentialism, a significant development in contemporary philosophy, which places inference at the heart of human knowing. This theory assists epistemological reflection on challenges in statistics education encountered when…
Descriptors: Statistical Inference, Inferences, Theories, Statistics
Makar, Katie; Bakker, Arthur; Ben-Zvi, Dani – Mathematical Thinking and Learning: An International Journal, 2011
Informal statistical inference (ISI) has been a frequent focus of recent research in statistics education. Considering the role that context plays in developing ISI calls into question the need to be more explicit about the reasoning that underpins ISI. This paper uses educational literature on informal statistical inference and philosophical…
Descriptors: Statistics, Instruction, Statistical Inference, Grade 6
Hoyles, Celia; Bakker, Arthur; Kent, Phillip; Noss, Richard – Mathematical Thinking and Learning: An International Journal, 2007
This article is concerned with the meanings that employees in industry attribute to representations of data and the contingencies of these meanings in context. Our primary concern is to more precisely characterize how the context of the industrial process is constitutive of the meaning of graphs of data derived from this process. We draw on data…
Descriptors: Employees, Ethnography, Graphs, Total Quality Management

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