AndrewGelman,AkiVehtari
Active Statistics: Stories, Games, Problems, and Hands-on Demonstrations for Applied Regression and Causal Inference
Active Statistics: Stories, Games, Problems, and Hands-on Demonstrations for Applied Regression and Causal Inference
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- More about Active Statistics: Stories, Games, Problems, and Hands-on Demonstrations for Applied Regression and Causal Inference
This book offers a comprehensive classroom material for a one- or two-semester course on applied regression and causal inference, featuring 52 stories, activities, computer demonstrations, and discussion problems. It fosters an engaging flipped classroom environment with a focus on visualization and understanding, and provides instructors with frameworks for self-study and student engagement.
Format: Paperback / softback
Length: 368 pages
Publication date: 14 March 2024
Publisher: Cambridge University Press
This comprehensive textbook serves as a valuable resource for statistics instructors and students embarking on a one- or two-semester course focused on applied regression and causal inference. Structured around 52 captivating stories, 52 engaging class-participation activities, 52 hands-on computer demonstrations, and 52 thought-provoking discussion problems, the book offers an immersive and enjoyable approach to exploring the intricate complexities of the subject. By fostering a flipped classroom environment, the book prioritizes visualization and understanding, enabling instructors to engage students actively and promote deep learning.
In addition to providing instructors with frameworks for self-study or course structure, the book offers valuable tips for maintaining student engagement at all levels. It also includes comprehensive practice exam questions to aid in learning and assessment. Designed to complement the authors' previous textbook, Regression and Other Stories, this textbook's modular nature and extensive content make it adaptable to various courses and texts, or serve as a hands-on workbook for learners. Whether used as a primary resource or as a supplementary tool, this book is an invaluable asset for anyone seeking to enhance their understanding of applied regression and causal inference.
Weight: 708g
Dimension: 177 x 255 x 23 (mm)
ISBN-13: 9781009436212
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