Statistics for the Behavioral Sciences 9th Edition by Frederick J Gravetter and Larry B. Wallnau gives easy instruction, accuracy, built-in studying aids, and real-world examples. The purpose of this book is to not solely educate the methods of statistics, but also to convey the basic ideas of objectivity and logic which can be essential for science and useful in on a regular basis life.
Authors help students perceive statistical procedures by a conceptual context that explains why the procedures have been developed and when they need to be used. College students have quite a few opportunities to practice statistical techniques via studying checks, examples, step-by-step demonstrations, and problems.
The book is now separated into 5 sections to emphasize the similarities amongst groups of statistical methods. Every part contains two to four chapters, and begins with an introduction and concludes with overview, together with assessment exercises. The book's conceptual context helps make studying statistics as simple as potential for college kids who may be intimidated by the subject.
Statistical formulas are presented in each normal mathematical notation and in on a regular basis language, with explanations of how and why formulas are used. This edition's excellent problems, which walk college students step-by-step by means of procedures in a variety of ways, mirror the simple writing for which Gravetter and Wallnau are renowned. Every chapter ends with 25 to 3zero problems.
In-text learning aids give students many opportunities to master the material with practice working through problems. Numerous Learning Checks (with answers) challenge students to test their comprehension as they read. A Focus on Problem Solving section in each chapter offers practical tips on deciding which formulas to use and cautions for avoiding common errors.
In the Literature sections, which appear in nearly every chapter, demonstrate how statistical results (e.g., for the mean and the standard deviation, t tests, and independent-measures tests) are reported in APA style and explain the notation and jargon used. An appendix contains a general introduction to IBM SPSS®. In addition, at the end of each chapter for which an SPSS analysis is feasible, a step-by-step set of instructions describes how to enter data, how to run the analysis, and what to look for in the output.
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