Cover image for Elements of statistical reasoning
Title:
Elements of statistical reasoning
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Publication Information:
New York : John Wiley, 1999
ISBN:
9780471192770
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30000005016765 QA276.12 M56 1999 Open Access Book Book
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Summary

Summary

This text stresses conceptual development and the logic of statistics for use in the Behavioral Sciences. It is designed for those who need to evaluate statistical findings. Coverage includes estimation procedures, independent samples t-test, Steven's scales of measurements, Pearson correlation coefficient. Updated to include Turkey's HSD test on factorial analysis of variance and Spearman's rho on assumption-free tests and all chapter have been edited to enhance clarity and flow, to simplify numbers in the worked problems, and to align all examples with the behavioral sciences.


Author Notes

About the Authors New co-author Theodore Coladarci is Professor of Educational Psychology at the University of Maine. He has published extensively, including Elementary Descriptive Statistics, which he co-authored with A.P. Coladarci. Edward W. Minium is Professor of Psychology Emeritus at San Jose State University. He is the author of the very successful text Statistical Reasoning in Psychology and Education. Through his work, Minium has gained a highly respected reputation in the field. Robert B. Clarke is also Professor of Psychology Emeritus at San Jose State University. He co-authored Statistical Reasoning and Procedures with A.P. Coladarci and J. Caffrey.


Table of Contents

Introduction
Frequency Distributions
Graphic Representation
Central Tendency
Variability
Normal Distributions and Standard Scores
Correlation
Regression and Prediction
Introduction to Statistical Inference and Probability
Random Sampling Distributions
Introduction to Hypothesis Testing
Comparing the Means of Two Populations: Independent Samples
Comparing the Means of Two Populations: Dependent Samples
Statistical Power Analysis
Estimation
Inference about Pearson Correlation Coefficients
Analysis of Variance: The One-Way Design
Factorial Analysis of Variance: The Two-Factor Design
The Binomial Test
Chi-Square and Frequency Data
Some (Almost) Distribution-Free Tests
Appendices
Index