Description:
A concise, intuitive monograph that demystifies statistical sampling theory--especially as applied to elections and survey research--using real-world examples, simulations, and Excel-based tools. It's designed to be accessible to readers with only high school algebra.
Brief description: Bernard Grofman is Distinguished Research Professor of Political Science and Social Psychology, School of Social Sciences, University of California, Irvine. A member of the American Academy of Arts and Science, he was the inaugural Jack W. Peltason Endowed Chair of Democracy Studies at UCI and has also been an Adjunct Professor of Economics at UCI and a visiting scholar-in-residence at universities in nearly a dozen countries.
Review Quotes: This book teaches statistical sampling and difference of means testing through elections and polling a data, a concept that should be easy and familiar for students to pick up.--Nathan W. Prager