Thoroughly updated with the latest research, Gravetter/Wallnau/Forzano/Witnauer's ESSENTIALS OF STATISTICS FOR THE BEHAVIORAL SCIENCES, 10th Edition delivers straightforward instruction, unrivaled accuracy, hands-on learning tools and a wealth of real-world examples and illustrations. Giving extra focus to difficult topics, the authors take time to explain statistical procedures so that students can go beyond memorizing formulas and begin gaining a conceptual understanding. Integrated applications reinforce concepts, ensuring that even students with a weak background in mathematics can fully grasp statistics. As a result, readers become savvy consumers of information. A complete supplements package -- including the MindTap digital learning experience with the Aplia online homework tool -- supports instructors with class preparation, testing and the ability to customize learning paths and content to maximize student success.
1. Introduction to Statistics.
2. Frequency Distributions.
3. Central Tendency.
4. Variability.
5. z-Scores: Location of Scores and Standardized Distributions.
6. Probability.
7. Probability and Samples: The Distribution of Sample Means.
8. Introduction to Hypothesis Testing.
9. Introduction to the t Statistic.
10. The t Test for Two Independent Samples.
11. The t Test for Two Related Samples.
12. Introduction to Analysis of Variance.
13. Two-Factor Analysis of Variance.
14. Correlation and Regression.
15. The Chi-Square Statistic: Tests for Goodness of Fit and Independence.
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Frederick J Gravetter
The late Frederick J Gravetter was Professor Emeritus of Psychology at The College at Brockport, State University of New York. While teaching at Brockport, Dr. Gravetter specialized in statistics, experimental design, and cognitive psychology. He 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 co-authored Statistics for the Behavioral Sciences and Essentials of Statistics for the Behavioral Sciences.
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Larry B. Wallnau
Larry B. Wallnau is Professor Emeritus of Psychology at The College at Brockport, State University of New York. While teaching at Brockport, he published numerous research articles in biopsychology and provided editorial consultation for journals in his field. He has taught statistics, animal behavior, biopsychology, psychopharmacology and introductory psychology. With Dr. Frederick J Gravetter, he co-authored all previous editions of STATISTICS FOR THE BEHAVIORAL SCIENCES, now in its 10th edition. Dr. Wallnau received his bachelor's degree from the University of New Haven and his Ph.D. in psychology from the State University of New York at Albany. In his leisure time, he is an avid runner with his canine companion, Gracie.
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Lori-Ann B. Forzano
Lori-Ann B Forzano is Professor of Psychology at The College at Brockport, State University of New York, where she regularly teaches undergraduate and graduate courses in research methods, statistics, learning, animal behaviour, and the psychology of eating. Her research examines impulsivity and self-control in adults and children and has been published in the Journal of the Experimental Analysis of Behavior, Learning and Motivation and The Psychological Record. Dr. Forzano also co-authored Essentials of Statistics for the Behavioral Sciences. She received her PhD in experimental psychology from the State University of New York at Stony Brook.
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James E. Witnauer
James E. Witnauer is Associate Professor of Psychology at The College at Brockport, State University of New York, where he teaches undergraduate courses in experimental psychology and graduate courses in statistics and biopsychology. He earned a Ph.D. in cognitive psychology from State University of New York, Binghamton, and a B.A. in psychology from State University of New York, Buffalo State College.
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A Preview opens each chapter with an engaging research example that piques students' curiosity and prepares them to dive into chapter content by putting them in the cognitive mindset of the material.
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An appendix presents a detailed introduction to SPSS for instructors using that or similar statistics programs. In addition, the end-of-chapter Resources sections demonstrate the step-by-step process of using the program for specific statistical applications.
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Chapters -- and many sections within each chapter -- are designed to be self-contained, giving instructors complete flexibility to delete or reorganize topics to match their syllabus.
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The Basic Mathematics Review appendix provides instruction for the math skills necessary for the course, and its self-assessment tools enable students to check their understanding of the material. The back matter of the text also includes a Statistics Organizer full of flowcharts and summaries to help students select the appropriate statistical method for the type of data and study being analyzed.
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Topics that traditionally have been difficult for students are given special attention, such as degrees of freedom, the distribution of sample means and more. Coverage of statistical power has been extensively rewritten and reorganized so that students can follow steps to calculate power.
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End-of-chapter SPSS sections now use SPSS 25 and have been significantly expanded to offer more detailed, step-by-step demonstrations -- including SPSS screenshots -- for how to conduct chapter relevant analyses. A new research example, dataset and steps for setting up variables and data entry have been added for each. In addition, a new "Try it Yourself" feature provides solutions so students can check their understanding of the material.
-
A Preview opens each chapter with an engaging research example that piques students' curiosity and prepares them to dive into chapter content by putting them in the cognitive mindset of the material.
-
An appendix presents a detailed introduction to SPSS for instructors using that or similar statistics programs. In addition, the end-of-chapter Resources sections demonstrate the step-by-step process of using the program for specific statistical applications.
-
Chapters -- and many sections within each chapter -- are designed to be self-contained, giving instructors complete flexibility to delete or reorganize topics to match their syllabus.
-
The Basic Mathematics Review appendix provides instruction for the math skills necessary for the course, and its self-assessment tools enable students to check their understanding of the material. The back matter of the text also includes a Statistics Organizer full of flowcharts and summaries to help students select the appropriate statistical method for the type of data and study being analyzed.
-
Topics that traditionally have been difficult for students are given special attention, such as degrees of freedom, the distribution of sample means and more. Coverage of statistical power has been extensively rewritten and reorganized so that students can follow steps to calculate power.
-
End-of-chapter SPSS sections now use SPSS 25 and have been significantly expanded to offer more detailed, step-by-step demonstrations -- including SPSS screenshots -- for how to conduct chapter relevant analyses. A new research example, dataset and steps for setting up variables and data entry have been added for each. In addition, a new "Try it Yourself" feature provides solutions so students can check their understanding of the material.