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Produktbild: Introduction to the Laws of Statistical Sampling
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Introduction to the Laws of Statistical Sampling With Illustrations From Election Polling

Aus der Reihe Quantitative Applications in the Social Sciences
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44,99 € UVP 52,50 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

14.10.2025

Verlag

Sage Publications

Seitenzahl

144

Maße (L/B/H)

21,6/14/0,9 cm

Gewicht

180 g

Auflage

1. Auflage

Sprache

Englisch

EAN

9798348832308

Beschreibung

Rezension

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

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

14.10.2025

Verlag

Sage Publications

Seitenzahl

144

Maße (L/B/H)

21,6/14/0,9 cm

Gewicht

180 g

Auflage

1. Auflage

Sprache

Englisch

EAN

9798348832308

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Zeitfracht Medien GmbH
Ferdinand-Jühlke-Straße 7
99095 Erfurt
DE
produktsicherheit@zeitfracht.de

Herstelleradresse

SAGE Publications
1 Oliver's Yard 55 City Road
EC1Y 1SP London
GB
orders@sagepub.co.uk

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  • Produktbild: Introduction to the Laws of Statistical Sampling
  • Series Editor Introduction
    Acknowledgements
    About the Author
    Chapter 1: An Overview
    1.1 Distinctive Features of the Approach to Sampling and Inference in This Volume
    1.2 The Structure of this Book
    1.3 Notation
    1.4 Basic Metrics
    APPENDIX to Chapter 1: A Few Useful EXCEL Functions and Tools
    Chapter 2: Sampling Distributions
    2.1 Ideal Types of Univariate Data Distributions
    2.2 The Normal Distribution and the Standardized Normal Distribution
    2.3 Approximately Normal Distributions
    2.4 Cumulative Distributions and Finding Percentile Ranks Using EXCEL
    2.5 The Binomial Distribution
    2.6 The t-Distribution
    2.7 Other Approximately Normal Distributions
    2.8 Skewness and Kurtosis
    2.9 Not all Univariate Distributions are Approximately Normal
    APPENDIX to Chapter 2: Theorem Proofs
    Chapter 3: Sampling and Hypothesis Testing
    3.1 Sampling and Hypothesis Testing
    3.2 An Inventory of the Ten Laws of Statistical Sampling
    3.3 Sampling From a Normal Distribution with Binomial Variance
    APPENDIX to Chapter 3: Distinguishing the Standard Error of the Mean From the Sample Error
    Chapter 4: Using EXCEL to Answer the First Five of our Six Questions
    4.1 Five Paradigmatic Questions About Sampling in Two-Candidate Elections
    Chapter 5: Difference of Means
    5.1 Question 6. "When can we reject the claim that two distributions are drawn from the same population?"
    5.2 Experiments as the Basis for Generating Data for a Difference of Means Test
    5.3 Statistical Significance versus Substantive Significance: The Importance of Sample Size
    5.4 Illustrating Ideological Polarization and Partisan Sorting with Polling Data
    5.5 Warnings about Causation and Selection Bias Effects
    Chapter 6: Unifying Perspectives on Sampling and Hypothesis Testing Involving a Univariate Distribution
    6.1 Similarities Across Statistical Tools
    6.2 Concluding Thoughts
    APPENDIX 1 to Chapter 6 - Parallels Between the Ideas in this Book and Regression Analysis
    APPENDIX 2 to Chapter 6: A Short List of Suggestions for Further Reading
    References
    Index