The Learning and Teaching of Statistics and Probability: A Perspective Rooted in Quantitative Reasoning and Conceptual Coherence (Impact: Interweaving Mathematics Pedagogy and Content for Teaching) - Hardcover

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

Hardcover

ISBN 10: 0367654857 ISBN 13: 9780367654856

Verlag: Routledge, 2023

Inhaltsangabe

Filled with practical learning activities to adopt within your classroom, The Learning and Teaching of Statistics and Probability places reasoning about quantities and quantification at the core of learning and teaching statistics. A companion website to this book is also available at https://neilhatfield.github.io/IMPACT_Statistics/, allowing readers to access a directory of resources - data collections and web-based applets - used in some of the instructional activities featured within this book.

Through its presentation of conceptual analyses and resources for teaching with statistical data, the book's five chapters establish key concepts and foundational ideas in statistics and probability, emphasizing the development of learner understanding and coherence, for example:

• Individual cases and their attributes
• Data collections, sub-collections, and relevant operations to quantify their attributes
• Samples, population, and quantifying variation
• Types of processes, meanings of randomness, and probability as a measure of stochastic tendency
• Sampling distributions and statistical inference.

This highly informative yet practical book is an indispensable resource for teachers of secondary school mathematics, mathematics subject leads, and mathematics and statistics educators within the wider field of education.

Über diesen Titel

Über die Autorin bzw. den Autor

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.

Details zur Ausgabe

• Verlag: Routledge
• Erscheinungsdatum: 2023
• Sprache: Englisch
• ISBN 10: 0367654857
• ISBN 13: 9780367654856
• Einband: Gebundene Ausgabe
• Auflage: 1
• Anzahl der Seiten: 166
• Kontakt zum Hersteller: preigu GmbH & Co. KG; mail@preigu.de; ; Lengericher Landstr. 19; Osnabrück; Niedersachsen; 49078; Deutschland