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Statistics for The Behavioral Sciences 10th Edition

Frederick J Gravetter | Larry B. Wallnau

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Overview

This field-leading introduction to statistics for students in the behavioral and social sciences continues to offer straightforward instruction, accuracy, built-in learning aids, and real-world examples. The goals of STATISTICS FOR THE BEHAVIORAL SCIENCES, 10th Edition are to teach the methods of statistics and convey the basic principles of objectivity and logic that are essential for science -- and valuable in everyday life. Authors Frederick Gravetter and Larry Wallnau help students understand statistical procedures through a conceptual context that explains why the procedures were developed and when they should be used. Students also have numerous opportunities to practice statistical techniques.

Frederick J Gravetter, The College at Brockport, State University of New York

Frederick J Gravetter is Professor Emeritus of Psychology at The College at Brockport, State University of New York. 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, 10th Edition, ESSENTIALS OF STATISTICS FOR THE BEHAVIORAL SCIENCES, 9th Edition, and RESEARCH METHODS FOR THE BEHAVIORAL SCIENCES, 5th Edition.

Larry B. Wallnau, State University of New York, Brockport

Larry B. Wallnau is Professor Emeritus of Psychology at The College at Brockport, State University of New York. 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 tenth edition, and ESSENTIALS OF STATISTICS FOR THE BEHAVIORAL SCIENCES, now in its ninth edition.

MindTap® is the digital learning solution that powers students from memorization to mastery. It gives you complete control of your course—to provide engaging content, to challenge every individual, and to build their confidence. Empower students to accelerate their progress with MindTap.

Developed by teachers, Aplia assignments connect concepts to the real world and focus on the unique course challenges facing students. In the last 15 years, more than two billion answers have been submitted through Aplia, representing millions of students who have come to class more engaged and better prepared.

  • The book's conceptual context helps make learning statistics as simple as possible for students who may be intimidated by the subject. Statistical formulas are presented in both standard mathematical notation and in everyday language, with explanations of how and why formulas are used.
  • This edition's excellent problems, which walk students step-by-step through procedures in a variety of ways, reflect the straightforward writing for which Gravetter and Wallnau are renowned. Each chapter ends with 20 to 30 problems.
  • In-text learning aids give students many opportunities to master the material by practicing working through problems. 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 and run the analysis, and presents an example of the output.

Statistics for The Behavioral Sciences

TABLE OF CONTENTS

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 Analysis of Variance (ANOVA).
14. Two-Factor Analysis of Variance (Independent Measures).
15. Correlation.
16. Introduction to Regression.
17. The Chi-Square Statistic: Tests for Goodness of Fit and Independence.
18. The Binomial Test.

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