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Active Statistics, Gelman, Andrew,Vehtari, Aki, 9781009436212

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Last updated on 21 Jul, 2025 00:27:11 BSTView all revisionsView all revisions

Item specifics

Condition
Good: A book that has been read, but is in good condition. Minimal damage to the book cover eg. ...
ISBN
9781009436212

About this product

Product Identifiers

Publisher
Cambridge University Press
ISBN-10
100943621X
ISBN-13
9781009436212
eBay Product ID (ePID)
17065345579

Product Key Features

Number of Pages
368 Pages
Publication Name
Active Statistics : Stories, Games, Problems, and Hands-On Demonstrations for Applied Regression and Causal Inference
Language
English
Publication Year
2024
Subject
Probability & Statistics / General, General
Type
Textbook
Author
Aki Vehtari, Andrew Gelman
Subject Area
Mathematics
Format
Trade Paperback

Dimensions

Item Height
0.7 in
Item Length
10 in
Item Width
7 in

Additional Product Features

LCCN
2023-053209
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 Edition
23
Illustrated
Yes
Dewey Decimal
519.5
Table Of Content
How 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.
Synopsis
This 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 Number
QA276.G4 2024

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