Research on Statistical Literacy, Reasoning, and Thinking: Issues, Challenges, and Implications

By Joan Garfield, Dani Ben-Zvi. 2004

77 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/af44d7aea78ca0599f6d1d027903902330444bf2

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Arthur Bakker

In Statistics and Probability

1. Arthur Bakker
2. M. Pfannkuch
3. C. Reading
4. K. Makar
5. Jan Derry
6. J. Reid
7. Alexei Botchkarev

Citations in the corpus

• Learning to reason from samples (2015, unknown): “…community reflect the shift in emphasis in statistics instruction from developing procedural understanding, that is, statistical techniques, formulas, computations, and procedures, to developing conceptual understanding and statistical literacy, reasoning, and thinking (Garfield & Ben-Zvi, 2004c).”
• REASONING ABOUT SHAPE AS A PATTERN IN VARIABILITY (2004, background): “The research presented here focused on a broader set of key concepts that students, in my view, need to develop in order to analyze data in a meaningful way: variability, sampling, data, and distribution (cf. Garfield & Ben-Zvi, 2004).”