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Applying and Interpreting Statistics : A Comprehensive Guide

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Cover of 'Applying and Interpreting Statistics : A Comprehensive Guide'

Table of Contents

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    Book Overview
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    Chapter 1 The Importance of Statistics in an Information-Based World
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    Chapter 2 Data: The Factual Information
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    Chapter 3 Statistical Models: The Experimenter’s View
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    Chapter 4 Comparing Model and Data
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    Chapter 5 Probability: A Fundamental Tool of Statistics
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    Chapter 6 Some Widely Used Statistical Models
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    Chapter 7 Some Important Statistics and Their Sampling Distributions
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    Chapter 8 Statistical Analysis: The Statistician’s View
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    Chapter 9 Examining Proportions and Success Rates
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    Chapter 10 Model and Data Checking
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    Chapter 11 Questions About the “Average” Value
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    Chapter 12 Comparing Two Groups, Treatments, or Processes
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    Chapter 13 Comparative Studies, Surveys, and Designed Experiments
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    Chapter 14 Comparing More Than Two Treatments or Groups
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    Chapter 15 Comparing Mean Response When There Are Three or More Treatments
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    Chapter 16 Comparing Patterns of Response: Frequency Tables
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    Chapter 17 Studying Relations Between Variables
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    Chapter 18 Prediction and Estimation: The Role of Explanatory Variables
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    Chapter 19 Questions About Variability
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    Chapter 20 Cause and Effect: Statistical Perspectives
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    Chapter 21 Studying Changes in Response over Time
Attention for Chapter 18: Prediction and Estimation: The Role of Explanatory Variables
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Citations

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Chapter title
Prediction and Estimation: The Role of Explanatory Variables
Chapter number 18
Book title
Applying and Interpreting Statistics
Published by
Springer, New York, NY, January 2001
DOI 10.1007/978-1-4757-3435-5_18
Book ISBNs
978-1-4419-2879-5, 978-1-4757-3435-5
Authors

Glen McPherson