
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
Book Details
| Print ISBN | 9780357365298 |
| eText ISBN | 9798214343198 |
| Publisher | Cengage Learning |
| Publishing Year | 2020 |
| Edition | 10th Edition |
| Language | English |
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
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
Chapter 2: Frequency Distributions
Chapter 3: Central Tendency
Chapter 4: Variability
Chapter 5: z-Scores: Location of Scores and Standardized Distributions
Chapter 6: Probability
Chapter 7: Probability and Samples: The Distribution of Sample Means
Chapter 8: Introduction to Hypothesis Testing
Chapter 9: Introduction to the t Statistic
Chapter 10: The t Test for Two Independent Samples
Chapter 11: The t Test for Two Related Samples
Chapter 12: Introduction to Analysis of Variance
Chapter 13: Two-Factor Analysis of Variance
Chapter 14: Correlation and Regression
Chapter 15: The Chi-Square Statistic: Tests for Goodness of Fit and Independence
Chapter Appendix A: Basic Mathematics Review
Chapter Appendix B: Statistical Tables
Chapter Appendix C: Solutions for Odd-Numbered Problems in the Text
Chapter Appendix D: General Instructions for Using SPSS®
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