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Introduction to the Laws of Statistical Sampling
With Illustrations From Election Polling
- Bernard Grofman - University of California, Irvine
Volume:
200
January 2026 | SAGE Publications, Inc
Introduction to the Laws of Statistical Sampling is a clear, concept-driven guide for readers new to statistical sampling, including doctoral students and early-career researchers. Requiring only basic algebra and access to Excel, Bernard Grofman uses simulation and real-world examples—especially from election polling—to build intuition around the Central Limit Theorem and other foundational principles. Structured around six essential questions and ten “laws” of statistical sampling, the book walks readers step by step through reasoning and calculations, highlighting common pitfalls and counterintuitive results. With its accessible language, practical focus, and deep pedagogical insight, this monograph is both a primer for beginners and a valuable refresher for experienced analysts.
Series Editor Introduction
Acknowledgements
About the Author
Chapter 1: An Overview
Chapter 2: Sampling Distributions
Chapter 3: Sampling and Hypothesis Testing
Chapter 4: Using EXCEL to Answer the First Five of our Six Questions
Chapter 5: Difference of Means
Chapter 6: Unifying Perspectives on Sampling and Hypothesis Testing Involving a Univariate Distribution
References
Index
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.
Virginia State University
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.
University of Nevada, Reno