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Essentials of Statistics for the Behavioral Sciences

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

10th Edition © 2021
Discipline:Psychology
Course:Research Methods and Statistics
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Thoroughly updated with the latest research, Gravetter/Wallnau/Forzano/Witnauer's ESSENTIALS OF STATISTICS FOR THE BEHAVIORAL SCIENCES, 10th Edition delivers straightforward instruction, unrivaled accuracy, hands-on learning tools and a wealth of real-world examples and illustrations. Giving extra focus to difficult topics, the authors take time to explain statistical procedures so that students can go beyond memorizing formulas and begin gaining a conceptual understanding. Integrated applications reinforce concepts, ensuring that even students with a weak background in mathematics can fully grasp statistics. As a result, readers become savvy consumers of information. A complete supplements package -- including the MindTap digital learning experience with the Aplia online homework tool -- supports instructors with class preparation, testing and the ability to customize learning paths and content to maximize student success.

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AboutTable of contentsResourcesPricing & formatsRelated products

About this product

Thoroughly updated with the latest research, Gravetter/Wallnau/Forzano/Witnauer's ESSENTIALS OF STATISTICS FOR THE BEHAVIORAL SCIENCES, 10th Edition delivers straightforward instruction, unrivaled accuracy, hands-on learning tools and a wealth of real-world examples and illustrations. Giving extra focus to difficult topics, the authors take time to explain statistical procedures so that students can go beyond memorizing formulas and begin gaining a conceptual understanding. Integrated applications reinforce concepts, ensuring that even students with a weak background in mathematics can fully grasp statistics. As a result, readers become savvy consumers of information. A complete supplements package -- including the MindTap digital learning experience with the Aplia online homework tool -- supports instructors with class preparation, testing and the ability to customize learning paths and content to maximize student success.

A Preview opens each chapter with an engaging research example that piques students' curiosity and prepares them to dive into chapter content by putting them in the cognitive mindset of the material.

Topics that traditionally have been difficult for students are given special attention, such as degrees of freedom, the distribution of sample means and more. Coverage of statistical power has been extensively rewritten and reorganized so that students can follow steps to calculate power.

End-of-chapter SPSS sections now use SPSS 25 and have been significantly expanded to offer more detailed, step-by-step demonstrations -- including SPSS screenshots -- for how to conduct chapter relevant analyses. A new research example, dataset and steps for setting up variables and data entry have been added for each. In addition, a new "Try it Yourself" feature provides solutions so students can check their understanding of the material.

The SPSS Appendix with instructions for getting started has been significantly expanded to include SPSS screenshots, details of SPSS Variable View instructions, linking of SPSS data formats with data structure categories in Chapter 1 and a demonstration example that illustrates the use of setting up variables and entering data.

Table of contents

Chapters

Cover Page
Title Page
Copyright Page
Preface
New to This Edition
Matching the Text to Your Syllabus
To the Student
Ancillaries
Acknowledgments
About the Authors
Chapter 1. Introduction to Statistics*Preview this chapter
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
Appendix A. Basic Mathematics Review
Appendix B. Statistical Tables
Appendix C. Solutions for Odd-Numbered Problems in the Text
Appendix D. General Instructions for Using SPSS®
Statistics Organizer: Finding the Right Statistics for Your Data
Summary of Statistics Formulas
References
Show more

Chapter 1. Introduction to StatisticsPreview this chapter ↗

1-1. Statistics and Behavioral Sciences
Preview this section ↗
Definitions of Statistics ↗
Populations and Samples ↗
Variables and Data ↗
Parameters and Statistics ↗
Descriptive and Inferential Statistical Methods ↗
Statistics in the Context of Research ↗
1-2. Observations, Measurement, and Variables
Preview this section ↗
Observations and Measurements ↗
Constructs and Operational Definitions ↗
Discrete and Continuous Variables ↗
Scales of Measurement ↗
1-3. Three Data Structures, Research Methods, and Statistics
Preview this section ↗
Data Structure 1. One Group with One or More Separate Variables Measured for Each Individual: Descriptive Research ↗
Relationships Between Variables ↗
Data Structure 2. One Group with Two Variables Measured for Each Individual: The Correlational Method ↗
Data Structure 3. Comparing Two (or More) Groups of Scores: Experimental and Nonexperimental Methods ↗
Experimental and Nonexperimental Methods ↗
The Experimental Method ↗
Nonexperimental Methods: Nonequivalent Groups and Pre-Post Studies ↗
1-4. Statistical Notation
Preview this section ↗
Scores ↗
Summation Notation ↗
Summary ↗
Key Terms ↗
Focus on Problem Solving ↗
Demonstration 1.1 ↗
SPSS® ↗
Problems ↗
Show more

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