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Essentials of Statistics for the Behavioral Sciences cover

Essentials of Statistics for the Behavioral Sciences

by Frederick J Gravetter, Larry B. Wallnau, Lori-Ann B. Forzano, James E. Witnauer

10th Edition

Publisher: Cengage Learning

(0 reviews)
EducationProbability & Statistics

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Book Details

Print ISBN9780357365298
eText ISBN9798214343198
PublisherCengage Learning
Publishing Year2020
Edition10th Edition
LanguageEnglish

Essentials of Statistics for the Behavioral Sciences, 10th Edition presents introductory statistical concepts for students pursuing academic coursework in behavioral disciplines. Co-authored by Frederick J Gravetter, Larry B. Wallnau, Lori-Ann B. Forzano, and James E. Witnauer, this textbook outlines quantitative procedures applied across empirical research fields. The volume offers an organized framework for studying numerical data analysis within undergraduate behavioral science programs.

The content presents statistical techniques through sequential thematic phases. Initial chapters focus on descriptive data organization, detailing methods for frequency distributions, central tendency, and variability calculations. The material subsequently introduces probability theory alongside distributions of sample means, establishing the theoretical framework required for inferential hypothesis testing and analysis of variance.

To support practical application, the textbook incorporates structured problem-solving demonstrations throughout every chapter. These worked demonstrations provide step-by-step guidance for students practicing computational procedures and evaluating quantitative empirical evidence across behavioral science research studies.

Table of Contents

  1. Chapter 1: Introduction to Statistics

    • • 1-1. Statistics and Behavioral Sciences
    • • 1-2. Observations, Measurement, and Variables
    • • 1-3. Three Data Structures, Research Methods, and Statistics
    • • 1-4. Statistical Notation
    • • Summary
    • • Key Terms
    • • Focus on Problem Solving
    • • Demonstration 1.1
    • • SPSS®
    • • Problems
  2. Chapter 2: Frequency Distributions

  3. Chapter 3: Central Tendency

  4. Chapter 4: Variability

  5. Chapter 5: z-Scores: Location of Scores and Standardized Distributions

  6. Chapter 6: Probability

  7. Chapter 7: Probability and Samples: The Distribution of Sample Means

  8. Chapter 8: Introduction to Hypothesis Testing

  9. Chapter 9: Introduction to the t Statistic

  10. Chapter 10: The t Test for Two Independent Samples

  11. Chapter 11: The t Test for Two Related Samples

  12. Chapter 12: Introduction to Analysis of Variance

  13. Chapter 13: Two-Factor Analysis of Variance

  14. Chapter 14: Correlation and Regression

  15. Chapter 15: The Chi-Square Statistic: Tests for Goodness of Fit and Independence

  16. Chapter Appendix A: Basic Mathematics Review

  17. Chapter Appendix B: Statistical Tables

  18. Chapter Appendix C: Solutions for Odd-Numbered Problems in the Text

  19. Chapter Appendix D: General Instructions for Using SPSS®

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