Essentials of Statistics for the Behavioral Sciences / Edition 8

by Frederick Gravetter, Larry Wallnau

Overview

A proven bestseller, ESSENTIALS OF STATISTICS FOR THE BEHAVIORAL SCIENCES, 8e gives you straightforward instruction, unrivaled accuracy, built-in learning aids, and plenty of real-world examples to help you understand statistical concepts. The authors take time to fully explain statistical procedures so that you can go beyond memorizing formulas and begin gaining a conceptual understanding of statistics. They also take care to show you how having an understanding of statistical procedures will help you comprehend published findings—ultimately leading you to become a savvy consumer of information. Available with InfoTrac Student Collections http://gocengage.com/infotrac.

Product Details

ISBN-13:	9781133956570
Publisher:	Cengage Learning
Publication date:	01/01/2013
Series:	MindTap Course List
Pages:	648
Product dimensions:	7.90(w) x 9.90(h) x 0.90(d)

About the Author

The late Frederick J Gravetter was professor emeritus of psychology at State University of New York, Brockport. 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 ESSENTIAL OF STATISTICS FOR THE BEHAVIORAL SCIENCES.

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.

Table of Contents

PART I: INTRODUCTION AND DESCRIPTIVE STATISTICS. 1. Introduction to Statistics. 2. Frequency Distributions. 3. Measures of Central Tendency. 4. Measures of Variability. PART II: FOUNDATIONS OF INFERENTIAL STATISTICS. 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. PART III: USING t STATISTICS FOR INFERENCES ABOUT POPULATION MEANS AND MEAN DIFFERENCES. 9. Introduction to the t Statistic. 10. The t Test for Two Independent Samples. 11. The t Test for Two Related Samples. PART IV: ANALYSIS OF VARIANCE: TESTS FOR DIFFERENCES AMONG TWO OR MORE POPULATION MEANS. 12. Introduction to Analysis of Variance. 13. Repeated-Measures and Two-Factor Analysis of Variance. PART V: CORRELATIONS AND NONPARAMETRIC TESTS. 14. Correlation and Regression. 15. The Chi-Square Statistic: Tests for Goodness of Fit and Independence.

Editorial Reviews

Teaches methods of statistics and how to apply them appropriately. This fifth edition contains revised problems and learning checks, and is divided into sections on descriptive statistics, foundations of inferential statistics, inferential statistics for sample mean differences, and non-parametric statistics. Each section is preceded by a brief synopsis of goals and direction of material to be covered. Includes chapter summaries, problem solving tips, worked examples, and problems. The authors are affiliated with the State University of New York College at Brockport. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Booknews

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There was a VERY strong correlation between students who stayed on the assigned course schedule and students who had success in the course.

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