Active Statistics: Stories, Games, Problems, and Hands-on Demonstrations for Applied Regression and Causal Inference by

Introduction

Active Statistics: Stories, Games, Problems, and Hands-on Demonstrations for Applied Regression and Causal Inference by Andrew Gelman is a refreshingly engaging resource for anyone teaching or learning statistics. Published by Cambridge University Press, this hardcover book transforms the classroom into a lively space where complex ideas become clear through real-world stories, interactive activities, and computer demonstrations. Designed to complement Gelman's earlier work Regression and Other Stories, this standalone volume offers a complete toolkit for a one- or two-semester course. Indian students and instructors will find its practical approach especially valuable for mastering applied regression and causal inference in fields like economics, social sciences, public health, and data science.

Book Overview

This book is built around 52 stories, 52 class-participation games, 52 hands-on computer demonstrations, and 52 discussion problems. Each element is carefully crafted to help learners explore the real-world complexity of statistics in a fun, collaborative way. The modular structure allows instructors to pick and choose material that fits their syllabus, while students benefit from a flipped classroom environment that emphasizes visualization and understanding over rote memorization. The book includes tips for maintaining engagement, practice exam questions, and frameworks for self-study, making it a versatile companion for both teachers and independent learners.

Key Highlights

• Interactive Learning: 52 hands-on computer demonstrations and class activities bring statistical concepts to life.
• Story-Driven Approach: Each chapter opens with a compelling story that illustrates key ideas in regression and causal inference.
• Flipped Classroom Ready: Designed for active participation, with games and problems that encourage discussion and critical thinking.
• Modular and Flexible: Can be used alongside any regression textbook or as a standalone workbook for self-study.
• Practice and Assessment: Includes discussion problems and exam-style questions to guide learning and measure progress.

Inside the Book

The book is divided into sections that mirror the flow of a typical applied regression course. Each section contains a story to set the context, followed by a class-participation activity that gets students working together. Computer demonstrations using R or similar software show how to implement methods on real data, while discussion problems challenge learners to think critically about assumptions, results, and interpretations. The material covers everything from simple linear regression to advanced topics in causal inference, with an emphasis on graphical exploration and practical decision-making.

Key Topics

• Linear and logistic regression
• Multilevel and hierarchical models
• Post-treatment bias and confounding
• Randomized experiments and observational studies
• Causal inference using directed acyclic graphs
• Model checking and validation
• Visualization techniques for regression
• Design of studies and simulation

Reader Benefits

Students gain a deep, intuitive understanding of regression and causal inference by actively engaging with the material. The hands-on demonstrations and games make abstract concepts concrete, while the stories show how statistics applies to real problems in India and around the world. Instructors save time with ready-to-use activities and exam questions, and the flexible structure allows adaptation to different course lengths and student backgrounds. Self-learners will appreciate the clear explanations and the opportunity to practice with authentic examples.

Learning Outcomes

By the end of this book, readers will be able to: apply regression models to real data with confidence; design and interpret causal studies using modern frameworks; critically evaluate statistical claims in research and media; use visualization to communicate findings effectively; and conduct hands-on computer demonstrations to test hypotheses. The book builds both technical skills and statistical reasoning, preparing students for advanced work in data science, research, or professional analytics.

Who Should Read

This book is ideal for undergraduate and postgraduate students in statistics, economics, psychology, sociology, public health, and other quantitative fields. Instructors looking for innovative teaching material will find it a goldmine of ready-to-use resources. Professionals in data analytics, market research, and policy analysis who want to strengthen their understanding of causal methods will also benefit. No prior knowledge of regression is assumed, though familiarity with basic probability and algebra is helpful.

About the Author

Andrew Gelman is a professor of statistics and political science at Columbia University. He is widely known for his work in Bayesian statistics, multilevel modeling, and causal inference, and for his popular blog on statistical methods. Gelman has authored several influential textbooks and is a recipient of numerous awards for his research and teaching. His engaging writing style and commitment to making statistics accessible shine through in this book.

About the Publisher

Cambridge University Press is one of the world's oldest and most respected academic publishers. With a strong commitment to scholarly excellence, Cambridge produces high-quality textbooks and reference works that are used by students and researchers globally. This hardcover edition is printed on premium paper, ensuring durability and readability for years of use in classrooms and libraries.

Conclusion

Active Statistics is not just a textbook—it is a complete learning experience. By combining stories, games, problems, and demonstrations, Andrew Gelman has created a resource that makes statistics active, enjoyable, and deeply educational. Whether you are a student struggling with regression or an instructor seeking fresh ideas, this book will transform the way you think about data and causality. Order your copy from Bookshops.in today and start exploring statistics the active way.