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An introductory reference for applied statistics in the fields of social and behavioral sciences, Statistics for the Behavioral Sciences (ISBN 9780495602200) is a widely used book known for its on-point lessons, fresh and applicable models and examples, accurate teachings, and integrated learning tools. Frederick J. Gravetter and Larry B. Wallnau capture...
An introductory reference for applied statistics in the fields of social and behavioral sciences, Statistics for the Behavioral Sciences (ISBN 9780495602200) is a widely used book known for its on-point lessons, fresh and applicable models and examples, accurate teachings, and integrated learning tools. Frederick J. Gravetter and Larry B. Wallnau capture the essentials of the subject, and are successful in teaching statistical methods and at the same time put across fundamental concepts of rationality and objectivity, which are indispensable in science. Gravetter and Wallnau also did well in explaining how and why certain statistical methodologies were developed, and when it is appropriate to use each procedure or technique. Statistics for the Behavioral Sciences uses problems, exercises, practical examples, and demonstrations to help students better understand these statistical procedures. This edition of the book not only lays down different methodologies of statistics, but teaches students how to correctly apply them. The book is divided into major sections including inferential and descriptive statistics, along with non-parametric statistics, and sample mean differences. Chapters and sections always start with a summary of the topic to be discussed, followed by its goals. At the end of each chapter are summaries, as well as problems, examples, and some tips on problem solving, which ultimately help students retain what they have learned. This introductory book consists of 20 chapters, with sections dedicated to frequency distributions, variability, probability, percentage scores, and estimation. Other chapters focus on hypothesis testing, t statistic, analysis of variance, correlation, regression, and other basic and advanced statistical methods. Gravetter and Wallnau make a perfect tandem for this book, with the first specializing in research design and statistics, and the latter in research and teaching. Both authors are also associated with the reputable State University of New York College at Brockport where they teach psychology.
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