The Role of Context in Developing Reasoning about Informal Statistical Inference

By K. Makar, Dani Ben-Zvi. 2011

62 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/9108ea9b02d99b91b0659c95760569e121c8aaae

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. David L. Neumann

In Statistics and Probability

1. Michelle Hood
2. David L. Neumann
3. Michelle M. Neumann

Citations in the corpus

• Learning to reason from samples (2015, unknown): “The group has been fertile in producing publications, including several books (Ben-Zvi & Garfield, 2004b; Garfield & Ben-Zvi, 2008; Zieffler, Ben-Zvi, Chance, Garfield, & Gould, 2015); special issues of statistics and mathematics education journals: reasoning about variability in Statistical Educati”
• USING REAL-LIFE DATA WHEN TEACHING STATISTICS: STUDENT PERCEPTIONS OF THIS STRATEGY IN AN INTRODUCTORY STATISTICS COURSE (2013, background): “These include emphasising statistical thinking, using less theory and more data, making data analysis central, building intuition, fostering active learning, and using context to develop statistical inference (Cobb, 1992; Makar & Ben-Zvi, 2011; Scheaffer, 2001).”