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Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
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Searching... | 30000005016765 | QA276.12 M56 1999 | Open Access Book | Book | Searching... |
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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 |