Fundamental Statistics for the Behavioral Sciences / Edition 6

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Overview

With an emphasis on looking at data before jumping into a test, author David C. Howell's practical approach focuses on the context of statistics in behavioral research. This approach promotes an understanding of the logic behind the statistics: why and how certain methods are used, rather than just doing techniques by rote. Howell takes students beyond crunching numbers to discover the meaning of statistical results and how they relate to the research questions being asked. Howell uses real data and research studies as a basis and moves through an analysis of data. As FUNDAMENTAL STATISTICS FOR THE BEHAVIORAL SCIENCES, Fourth Edition clearly demonstrates, it is not only important to concentrate on whether there is a difference between two groups but also to understand what the difference means.
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Product Details

  • ISBN-13: 9780495099000
  • Publisher: Cengage Learning
  • Publication date: 2/1/2007
  • Edition description: REV
  • Edition number: 6
  • Pages: 608
  • Product dimensions: 7.50 (w) x 9.30 (h) x 1.10 (d)

Meet the Author

David C. Howell is a professor emeritus and former chair of the psychology department at the University of Vermont. Professor Howell's primary area of research is in statistics and experimental methods. He is also the author of STATISTICAL METHODS FOR PSYCHOLOGY, currently in an Eighth Edition (Wadsworth Cengage Learning, 2013), and the ENCYCLOPEDIA OF STATISTICS IN BEHAVIOR SCIENCE (2005) with Brian Everitt. Before retiring, he frequently served as consultant with other faculty, both in the psychology department and in departments as disparate as Geology and Animal Sciences, and brings those experiences to this endeavor. Professor Howell's other interests include computing and the World Wide Web, and how technology affects communication, teaching, and research.

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Table of Contents

1. Introduction. 2. Basic Concepts. 3. Displaying Data. 4. Measures Of Central Tendency. 5. Measures of Variability. 6. The Normal Distribution. 7. Basic Concepts of Probability. 8. Sampling Distributions and Hypothesis Testing. 9. Correlation. 10. Regression. 11. Multiple Regression. 12. Hypothesis Tests Applied to Means: One Sample. 13. Hypothesis Tests Applied to Means: Two Related Samples. 14. Hypothesis Tests Applied to Means: Two Independent Samples. 15. Power. 16. One-Way Ananlysis of Variance. 17. Factorial Analysis Of Variance. 18. Repeated-Measures Analysis Of Variance. 19. Chi-Square. 20. Nonparametric and Distribution-Free Statistical Tests. 21. Choosing the Appropriate Analysis. Appendices. A: Arithmetic Review. B: Symbols and Notation. C: Basic Statistical Formulae. D: Dataset. E: Statisticsal Tables. Glossary. References. Answers To Selected Exercises. Index.
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