The Learning and Teaching of Statistics and Probability: A Perspective Rooted in Quantitative Reasoning and Conceptual Coherence

Filled with practical learning activities to adopt within your classroom, this book places reasoning about quantification at the core of learning and teaching statistics.

Luis Saldanha is a professor of Didactics of Mathematics in the department of mathematics at l’Université du Québec à Montréal, Canada. His research focuses on mathematical thinking, specifically the development of students’ statistical reasoning in relation to their engagement with instruction designed to foster their understanding of statistical concepts.

Neil J Hatfield is an assistant research professor in the Department of Statistic at Pennsylvania State University, U.S.A. His main research interests focus on cognition related to the concept of distribution, the teaching of statistics, data science, and probability, and the diversity, equity, and inclusion in STEM.

Egan J Chernoff is a professor of Mathematics Education at the University of Saskatchewan, Canada. His editorial affiliations include: Statistics Education Research Journal; The Mathematics Enthusiast; Mathematical Thinking and Learning; Journal of Mathematical Behavior; Canadian Journal of Science, Mathematics, and Technology Education; and, more.

Caterina Primi is a full professor in Psicometria at the Faculty of Psychology at the University of Florence, Italy. She is an experienced teacher of graduate, post-graduate and PhD level courses in statistics, research methos and psychological testing.