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Edition: 2ND 99

Copyright: 1999

Publisher: John Wiley & Sons, Inc.

Published: 1999

International: No

Copyright: 1999

Publisher: John Wiley & Sons, Inc.

Published: 1999

International: No

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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.

**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.

**DESCRIPTIVE STATISTICS.**

Frequency Distributions.

Graphic Representation.

Central Tendency.

Variability.

Normal Distributions and Standard Scores.

Correlation.

Regression and Prediction.

**INFERENTIAL STATISTICS.**

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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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 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.

Table of Contents

**DESCRIPTIVE STATISTICS.**

Frequency Distributions.

Graphic Representation.

Central Tendency.

Variability.

Normal Distributions and Standard Scores.

Correlation.

Regression and Prediction.

**INFERENTIAL STATISTICS.**

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.

Publisher Info

Publisher: John Wiley & Sons, Inc.

Published: 1999

International: No

Published: 1999

International: No

**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.

**DESCRIPTIVE STATISTICS.**

Frequency Distributions.

Graphic Representation.

Central Tendency.

Variability.

Normal Distributions and Standard Scores.

Correlation.

Regression and Prediction.

**INFERENTIAL STATISTICS.**

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.