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 cla
rity and flow, to simplify numbers in the worked problems, and to align all examples with the behavioral sciences.
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. ...show less
Edition/Copyright:2ND 99 Cover: Publisher:John Wiley & Sons, Inc. Year Published: 1999 International: No
View Author Bio
Coladarci, Theodore : University of Maine
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.
Minium, Edward W. : San Jose State University
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.
Clarke, Robert B. : San Jose State University
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.
View Table of Contents
Frequency Distributions. Graphic Representation. Central Tendency. Variability. Normal Distributions and Standard Scores. Correlation. Regression and Prediction.
Probability and Probability Distributions. Sampling Distributions. Testing Statistical Hypotheses About When Is Known: The One-Sample z Test. Estimation. Testing Statistical Hypotheses About When Is Not Known: The One-Sample t-Test. Comparing the Means of Two Populations: Independent Samples. Comparing the Means of Dependent Samples. Inferences About the Pearson Correlation Coefficient. Statistical "Power" (And How to Increase It). Comparing the Means of Three or More Independent Samples: One-Way Analysis of Variance. Factorial Analysis of Variance: Two-Way ANOVA. Chi-Square and Frequency Data. Some (Almost) Assumption-Free Tests.
References. Appendices. Index.
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