Essentials of Statistics for The Behavioral Sciences,
9th Edition

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. Repeated-Measures and Two-Factor Analysis of Variance.
14. Correlation and Regression.
15. The Chi-Square Statistic: Tests for Goodness of Fit and Independence.

• 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.

• 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.

• 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.

• Each major section of every chapter begins with a list of Learning Objectives that provide a structure for organizing lectures and preparing assignments and exams. The objectives also focus students' attention on the key concepts and skills they need to learn.

• Each section ends with a Learning Check consisting of multiple-choice questions, including at least one question for each Learning Objective for the section.

• Many chapters have been simplified and shortened by eliminating redundant examples and other non-essential material, thereby enabling a focus on the specific goals identified by the Learning Objectives.

• Do-it-yourself examples scattered throughout each chapter present numerical examples that provide students an opportunity to perform the statistical calculations that have been introduced.

• Examples and end-of-chapter problems have been updated throughout the book to engage students with interesting, up-to-date demonstrations of research studies as well as the statistical techniques used to organize and interpret their results.

• Learning Objectives throughout the book provide a framework for presenting lectures and preparing exams, and guide students' reading and review of the material.

• Multiple examples demonstrate specific statistical procedures in the context of the research designs and data for which they are appropriate, helping to facilitate the connection between statistics and research methods.

• Chapters and many sections within each chapter are designed to be self-contained so instructors have the flexibility to delete or reorganize topics to match their syllabus.

• Statistical formulas are presented in both standard mathematical notation and in everyday language. In addition to presenting these formulas, the book provides a conceptual framework for each statistical application that helps student understand the purpose of the formulas and the questions they are designed to answer.

• In the Literature sections throughout the book demonstrate and explain how statistical results are presented in research reports, guiding students to become savvy consumers of information.

• For instructors using SPSS (or a similar statistics program), an appendix presents a general introduction to SPSS. In addition, the Resources section at the end of each chapter for which SPSS is applicable demonstrates the step-by-step process of using the program for specific statistical applications.

• Simplified demonstration problems at the end of each chapter focus on the content of the chapter and minimize tedious computations.

• Real-world examples from across the social and behavioral sciences make this proven book very accessible for all students, and vividly demonstrate how behavioral statistics apply to everyday life.

• The text reflects the most current APA guidelines.

Cengage provides a range of supplements that are updated in coordination with the main title selection. For more information about these supplements, contact your Learning Consultant.

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