Introduction to the laws of statistical sampling : with illustrations from election polling.

Format:

Book

Author/Creator:

Grofman, Bernard, author.

Series:

Quantitative applications in the social sciences ; 200.

Quantitative applications in the social sciences ; 200

Language:

English

Subjects (All):

Public opinion polls--Methodology.

Public opinion polls.

Sampling (Statistics).

Physical Description:

xix, 123 pages : illustrations, charts ; 22 cm.

Place of Publication:

Thousand Oaks, California : Sage Publications, Inc., [2025].

Summary:

" 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"--Amazon.com.

Contents:

Series editor introduction

Acknowledgments

About the author

ch. 1. An overview

g ch. 2. Sampling distribution

ch. 3. Sampling theory

ch. 4. Using EXCEL to answer the first five of our six questions

ch. 5. Difference of means

ch. 6. Unifying perspectives on sampling and hypothesis testing involving a univariate distribution

References and suggestions for further reading

Index.

Notes:

Includes bibliographical references (pages 119-120) and index

Other Format:

ebook version :

ISBN:

9798348832308

OCLC:

1531083401

Publisher Number:

CIPO000300728