Active Statistics - Stories, Games, Problems, Hands On Demonstrations for Applied

"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"--

List of contents

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.

About the author

The authors are experienced researchers who have published articles in hundreds of different scientific journals in fields including statistics, computer science, policy, public health, political science, economics, sociology, and engineering. They have also published articles in the Washington Post, New York Times, Slate, and other public venues. Their previous books include Bayesian Data Analysis, Teaching Statistics: A Bag of Tricks, and Regression and Other Stories. Andrew Gelman is Higgins Professor of Statistics and Professor of Political Science at Columbia University.Aki Vehtari is Professor in Computational Probabilistic Modeling at Aalto University, Finland.

Summary

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.

Product details

• Authors: Andrew Gelman, Andrew (Columbia University Gelman, Gelman Andrew, Aki Vehtari, Aki (Aalto University Vehtari, Vehtari Aki
• Publisher: Cambridge University Press ELT
• Languages: English
• Product format: Paperback / Softback
• Released: 31.03.2024
• EAN: 9781009436212
• ISBN: 978-1-0-0943621-2
• No. of pages: 368
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; MATHEMATICS / Probability & Statistics / General, Social research & statistics, Probability & statistics, Revision and study guide, Probability and statistics, Social research and statistics, For higher / tertiary / university education, Textbook, coursework