Essentials of Statistics for the Behavioral Science / Edition 7

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Overview

Gravetter and Wallnau's proven best seller gives you straightforward instruction, accuracy, built-in learning aids, and plenty of real-world examples that will help you understand statistical concepts. The authors take time to explain statistical procedures so that you can go beyond memorizing formulas and begin gaining a conceptual understanding of statistics. The authors also take care to show you how having an understanding of statistical procedures will help you comprehend published findings and will lead you to become a savvy consumer of information. Known for its exceptional accuracy and examples, this text also has a complete supplements package to support your learning.

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Product Details

Meet the Author

Frederick J Gravetter is Professor Emeritus of Psychology at The College at Brockport, State University of New York College. While teaching at Brockport, he specialized in statistics, research design, and cognitive psychology. Dr. Gravetter received his Bachelor's degree in mathematics from M.I.T. and his Ph.D. in psychology from Duke University. In addition to publishing several research articles, Dr. Gravetter is co-author of the best-selling STATISTICS FOR THE BEHAVIORAL SCIENCES, 9th Edition, ESSENTIALS OF STATISTICS FOR THE BEHAVIORAL SCIENCES, 8th Edition, and (with Lori-Ann B. Forzano) RESEARCH METHODS FOR THE BEHAVIORAL SCIENCES, 5th Edition.

Larry B. Wallnau is Professor Emeritus of Psychology at the State University of New York College at Brockport. The recipient of grants and awards in both research and teaching, Dr. Wallnau has published numerous research articles primarily on the effect of psychotropic drugs. With Frederick J Gravetter, he has co-authored previous editions of STATISTICS FOR THE BEHAVIORAL SCIENCES, now in its Ninth Edition, and ESSENTIALS OF STATISTICS FOR THE BEHAVIORAL SCIENCES, now in its Sixth Edition.

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Table of Contents

Part I: INTRODUCTION AND DESCRIPTIVE STATISTICS. 1. Introduction to Statistics. 2. Frequency Distributions. 3. Central Tendency. 4. Variability. Part I Review. Part II: FOUNDATIONS OF INFERENTIAL STATISTICS. 5. Z-Scores: Location of Scores and Standard Distributions. 6. Probability. 7. Probability and Samples: The Distribution of Sample Means. 8. Introduction to Hypothesis Testing. Part II Review. Part III: USING t STATISTICS FOR INFERENCES ABOUT POPULATION MEANS AND MEAN DIFFERENCES. 9. Introduction to the t Statistic. 10. The t test for Two Independent Samples. 11. The t test for Two Related Samples. 12. Estimation. Part III Review. Part IV: ANALYSIS OF VARIANCE: TESTS FOR DIFFERENCES AMONG TWO OR MORE POPULATION MEANS. 13. Introduction to Analysis of Variance. 14. Repeated-Measures and Two-Factor Analysis of Variance. Part IV Review. Part V: CORRELATIONS AND NON-PARAMETRIC TESTS. 15. Correlation and Regression. 16. The Chi-Square Statistic: Tests for Goodness of Fit and Independence. Part V Review. Appendix A: Basic Mathematics Review. Appendix B: Statistical Tables. Appendix C: Solutions for Odd-Numbered Problems in the Text. Appendix D: General Instructions for Using SPSS.

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