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 is a game-changer for anyone learning about statistical sampling. Professor Grofman takes a subject that′s usually complex and math-heavy, and he makes it intuitive and accessible. The way he breaks down key ideas, provides hands-on Excel simulations, and captures core principles in his Introduction to the Laws of Statistical Sampling is truly brilliant. If you′re a student looking to really understand sampling - not just memorize formulas - this is the book for you. And if you′re an instructor searching for a fresh approach to bring sampling to life, look no further.--Tracy M. Walker