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Statistics for The Behavioral Sciences

By Frederick J Gravetter, Larry B. Wallnau

10th Edition © 2017
Discipline:Psychology
Course:Research Methods and Statistics
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This field-leading introduction to statistics text for students in the behavioral and social sciences continues to offer straightforward instruction, accuracy, built-in learning aids, and real-world examples. The goals of STATISTICS FOR THE BEHAVIORAL SCIENCES, 10th Edition are to teach the methods of statistics and convey the basic principles of objectivity and logic that are essential for science -- and valuable in everyday life. Authors Frederick Gravetter and Larry Wallnau help students understand statistical procedures through a conceptual context that explains why the procedures were developed and when they should be used. Students have numerous opportunities to practice statistical techniques through learning checks, examples, step-by-step demonstrations, and problems.

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AboutTable of contentsResourcesPricing & formatsRelated products

About this product

This field-leading introduction to statistics text for students in the behavioral and social sciences continues to offer straightforward instruction, accuracy, built-in learning aids, and real-world examples. The goals of STATISTICS FOR THE BEHAVIORAL SCIENCES, 10th Edition are to teach the methods of statistics and convey the basic principles of objectivity and logic that are essential for science -- and valuable in everyday life. Authors Frederick Gravetter and Larry Wallnau help students understand statistical procedures through a conceptual context that explains why the procedures were developed and when they should be used. Students have numerous opportunities to practice statistical techniques through learning checks, examples, step-by-step demonstrations, and problems.

The book's conceptual context helps make learning statistics as simple as possible for students who may be intimidated by the subject. Statistical formulas are presented in both standard mathematical notation and in everyday language, with explanations of how and why formulas are used.

This edition's excellent problems, which walk students step-by-step through procedures in a variety of ways, reflect the straightforward writing for which Gravetter and Wallnau are renowned. Each chapter ends with 20 to 30 problems.

In-text learning aids give students many opportunities to master the material by practicing working through problems. A Focus on Problem Solving section in each chapter offers practical tips on deciding which formulas to use and cautions for avoiding common errors.

In the Literature sections, which appear in nearly every chapter, demonstrate how statistical results (e.g., for the mean and the standard deviation, t tests, and independent-measures tests) are reported in APA style and explain the notation and jargon used.

Table of contents

Chapters

Cover Page
Title Page
Copyright Page
Preface
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. Repeated-Measures Analysis of Variance
Chapter 14. Two-Factor Analysis of Variance (Independent Measures)
Chapter 15. Correlation
Chapter 16. Introduction to Regression
Chapter 17. The Chi-Square Statistic: Tests for Goodness of Fit and Independence
Chapter 18. The Binomial Test
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
Appendix E. Hypothesis Tests for Ordinal Data: Mann-Whitney, Wilcoxon, Kruskal-Wallis, and Friedman Tests
Statistics Organizer: Finding the Right Statistics for Your Data
Referenes
Show more

Chapter 1. Introduction to StatisticsPreview this chapter ↗

1.1
Statistics, Science, and Observations
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
Data Structures, Research Methods, and Statistics
Preview this section ↗
Individual Variables: Descriptive Research ↗
Relationships between Variables ↗
Statistics for the Correlational Method ↗
Limitations of the Correlational Method ↗
Statistics for Comparing Two (or More) Groups of Scores ↗
Experimental and Nonexperimental Methods ↗
The Experimental Method ↗
Terminology in the Experimental Method ↗
Nonexperimental Methods: Nonequivalent Groups and Pre-Post Studies ↗
1.3
Variables and Measurement
Preview this section ↗
Constructs and Operational Definitions ↗
Discrete and Continuous Variables ↗
Scales of Measurement ↗
The Nominal Scale ↗
The Ordinal Scale ↗
The Interval and Ratio Scales ↗
1.4
Statistical Notation
Preview this section ↗
Scores ↗
Summation Notation ↗
Summary ↗
Key Terms ↗
SPSS® ↗
Focus on Problem Solving ↗
Demonstration 1.1 ↗
Problems ↗
Show more

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