The Learning and Teaching of Statistics and Probability - Couverture rigide

Saldanha, Luis; Hatfield, Neil J.; Chernoff, Egan J; Primi, Caterina

 
9780367654856: The Learning and Teaching of Statistics and Probability

Synopsis

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

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l?auteur

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 Statistics 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 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 methods, and psychological testing.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Autres éditions populaires du même titre

9780367654863: The Learning and Teaching of Statistics and Probability

Edition présentée

ISBN 10 :  0367654865 ISBN 13 :  9780367654863
Editeur : Routledge, 2023
Couverture souple