The Learning and Teaching of Statistics and Probability

A Perspective Rooted in Quantitative Reasoning and Conceptual Coherence

Egan J Chernoff author Luis Saldanha author Neil J Hatfield author Caterina Primi author

Format:Paperback

Publisher:Taylor & Francis Ltd

Published:8th Dec '23

Currently unavailable, and unfortunately no date known when it will be back

This paperback is available in another edition too:

The Learning and Teaching of Statistics and Probability cover

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.

"This book definitely makes me think about the ways we normally talk about statistics with our students and our prospective teachers, and that perhaps there are alternative ways for us to introduce data, statistics, and inference than many of us do now. The authors are right-on with their path: Cases--> Collections--> Samples--> Distributions. I applaud that, and also their excellent "mini" and "integrating" activities that they have included throughout the book to get us all thinking and reasoning about quantities in statistics."

J. Michael Shaughnessy, Professor Emeritus in Mathematics and Statistics at Portland State University.

ISBN: 9780367654863

Dimensions: unknown

Weight: 360g

152 pages