Active Statistics : Stories, Games, Problems, and Hands-On Demonstrations for Applied Regression and Causal Inference by Aki Vehtari and Andrew Gelman (2024, Trade Paperback)
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About this product
Product Identifiers
PublisherCambridge University Press
ISBN-10100943621X
ISBN-139781009436212
eBay Product ID (ePID)17065345579
Product Key Features
Number of Pages368 Pages
Publication NameActive Statistics : Stories, Games, Problems, and Hands-On Demonstrations for Applied Regression and Causal Inference
LanguageEnglish
Publication Year2024
SubjectProbability & Statistics / General, General
TypeTextbook
AuthorAki Vehtari, Andrew Gelman
Subject AreaMathematics
FormatTrade Paperback
Dimensions
Item Height0.7 in
Item Length10 in
Item Width7 in
Additional Product Features
LCCN2023-053209
Reviews'This book is an extraordinarily rich and generous resource for teaching statistics. Full of stories about challenging statistical problems, the examples reflect all the messiness of real life, and encourage class discussion of what went wrong and how to do things better. The extensive collection of lesson plans and exercises provides a fine inspiration to adopt a different, more active, style of teaching.' David Spiegelhalter, University of Cambridge
Dewey Edition23
IllustratedYes
Dewey Decimal519.5
Table Of ContentHow to use this book; Part I. Organizing a Plan of Study: 1. Active learning; 2. Setting up a course of study; 3. In the classroom; Part II. Stories, Activities, Problems, and Demonstrations: 4. Week by week: the first semester; 5. Week by week: the second semester; Appendixes: A. Pre-test questions; B. Final exam questions; C. Outlines of classroom activities.
SynopsisThis book provides statistics instructors and students with complete classroom material for a one- or two-semester course on applied regression and causal inference. It is built around 52 stories, 52 class-participation activities, 52 hands-on computer demonstrations, and 52 discussion problems that allow instructors and students to explore in a fun way the real-world complexity of the subject. The book fosters an engaging 'flipped classroom' environment with a focus on visualization and understanding. The book provides instructors with frameworks for self-study or for structuring the course, along with tips for maintaining student engagement at all levels, and practice exam questions to help guide learning. Designed to accompany the authors' previous textbook Regression and Other Stories, its modular nature and wealth of material allow this book to be adapted to different courses and texts or be used by learners as a hands-on workbook., Applied regression and causal inference are central to statistics and data science. This book provides a large collection of stories, with hands-on activities, demonstrations, and problems that bring the subject to life and which facilitate group work and active student participation.
LC Classification NumberQA276.G4 2024
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