## Specifications

book-author | Frederick J. Gravetter, Larry B. Wallnau, Lori-Ann B. Forzano, James E. Witnauer |
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publisher | Cengage Learning; 10th edition |
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file-type | PDF |
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pages | 608 pages |
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language | English |
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asin | B0848JG9SZ |
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isbn10 | 357365291 |
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isbn13 | 9780357365298 |
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## Book Description

Updated with the latest research that’s relevant to today’s learners; *Wallnau/Gravetter/Forzano/Witnauer’s* *Essentials Of Statistics For The Behavioral Sciences; 10th Edition*; *(PDF)* offers straightforward instruction; hands-on learning tools; unrivaled accuracy and ample of real-world examples and illustrations. Giving extra emphasis to difficult topics; the expert writers take time to explain statistical procedures so that readers can go beyond learning formulas to truly understanding the whys and hows of statistics. Integrated applications strengthen basic and advance concepts; ensuring that even those with a weak background in mathematics can fully understand all the statistical concepts. As a consequence; college students and readers become savvy consumers of information.

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*P.S. Please get in touch if you want ***Essentials Of Statistics For The Behavioral Sciences 10e Testbank**; instructor solutions manual or other resources.

**NOTE: The product only includes the ebook; ***Essentials Of Statistics For The Behavioral Sciences; 10th Edition* in PDF. MindTap or any access codes are NOT included.

## Table of contents

Table of contents :

Cover

Brief Contents

Contents

Preface

About the Authors

Chapter 1: Introduction to Statistics

Preview

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

Preview

2-1 Frequency Distributions and Frequency Distribution Tables

2-2 Grouped Frequency Distribution Tables

2-3 Frequency Distribution Graphs

2-4 Stem and Leaf Displays

Summary

Key Terms

Focus on Problem Solving

Demonstration 2.1

Demonstration 2.2

SPSS

Problems

Chapter 3: Central Tendency

Preview

3-1 Overview

3-2 The Mean

3-3 The Median

3-4 The Mode

3-5 Central Tendency and the Shape of the Distribution

3-6 Selecting a Measure of Central Tendency

Summary

Key Terms

Focus on Problem Solving

Demonstration 3.1

SPSS

Problems

Chapter 4: Variability

Preview

4-1 Introduction to Variability

4-2 Defining Variance and Standard Deviation

4-3 Measuring Variance and Standard Deviation for a Population

4-4 Measuring Variance and Standard Deviation for a Sample

4-5 Sample Variance as an Unbiased Statistic

4-6 More about Variance and Standard Deviation

Summary

Key Terms

Focus on Problem Solving

Demonstration 4.1

SPSS

Problems

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

Preview

5-1 Introduction

5-2 z- Scores and Locations in a Distribution

5-3 Other Relationships between z, X, the Mean, and the Standard Deviation

5-4 Using z-Scores to Standardize a Distribution

5-5 Other Standardized Distributions Based on z-Scores

5-6 Looking Ahead to Inferential Statistics

Summary

Key Terms

Focus on Problem Solving

Demonstration 5.1

Demonstration 5.2

SPSS

Problems

Chapter 6: Probability

Preview

6-1 Introduction to Probability

6-2 Probability and the Normal Distribution

6-3 Probabilities and Proportions for Scores from a Normal Distribution

6-4 Percentiles and Percentile Ranks

6-5 Looking Ahead to Inferential Statistics

Summary

Key Terms

Focus on Problem Solving

Demonstration 6.1

SPSS

Problems

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

Preview

7-1 Samples, Populations, and the Distribution of Sample Means

7-2 Shape, Central Tendency, and Variability for the Distribution of Sample Means

7-3 z-Scores and Probability for Sample Means

7-4 More about Standard Error

7-5 Looking Ahead to Inferential Statistics

Summary

Key Terms

Focus on Problem Solving

Demonstration 7.1

SPSS

Problems

Chapter 8: Introduction to Hypothesis Testing

Preview

8-1 The Logic of Hypothesis Testing

8-2 Uncertainty and Errors in Hypothesis Testing

8-3 More about Hypothesis Tests

8-4 Directional (One-Tailed) Hypothesis Tests

8-5 Concerns about Hypothesis Testing: Measuring Effect Size

8-6 Statistical Power

Summary

Key Terms

Focus on Problem Solving

Demonstration 8.1

Demonstration 8.2

Demonstration 8.3

SPSS

Problems

Chapter 9: Introduction to the t Statistic

Preview

9-1 The t Statistic: An Alternative to z

9-2 Hypothesis Tests with the t Statistic

9-3 Measuring Effect Size for the t Statistic

9-4 Directional Hypotheses and One-Tailed Tests

Summary

Key Terms

Focus on Problem Solving

Demonstration 9.1

Demonstration 9.2

SPSS

Problems

Chapter 10: The t Test for Two Independent Samples

Preview

10-1 Introduction to the Independent-Measures Design

10-2 The Hypotheses and the Independent-Measures t Statistic

10-3 Hypothesis Tests with the Independent-Measures t Statistic

10-4 Effect Size and Confidence Intervals for the Independent-Measures t

10-5 The Role of Sample Variance and Sample Size in the Independent-Measures t Test

Summary

Key Terms

Focus on Problem Solving

Demonstration 10.1

Demonstration 10.2

SPSS

Problems

Chapter 11: The t Test for Two Related Samples

Preview

11-1 Introduction to Repeated-Measures Designs

11-2 The t Statistic for a Repeated-Measures Research Design

11-3 Hypothesis Tests for the Repeated-Measures Design

11-4 Effect Size, Confidence Intervals, and the Role of Sample Size and Sample Variance for the Repeated-Measures t

11-5 Comparing Repeated- and Independent-Measures Designs

Summary

Key Terms

Focus on Problem Solving

Demonstration 11.1

Demonstration 11.2

SPSS

Problems

Chapter 12: Introduction to Analysis of Variance

Preview

12-1 Introduction: An Overview of Analysis of Variance

12-2 The Logic of Analysis of Variance

12-3 ANOVA Notation and Formulas

12-4 Examples of Hypothesis Testing and Effect Size with ANOVA

12-5 Post Hoc Tests

12-6 More about ANOVA

Summary

Key Terms

Focus on Problem Solving

Demonstration 12.1

Demonstration 12.2

SPSS

Problems

Chapter 13: Two-Factor Analysis of Variance

Preview

13-1 An Overview of the Two-Factor, Independent- Measures ANOVA

13-2 An Example of the Two-Factor ANOVA and Effect Size

13-3 More about the Two-Factor ANOVA

Summary

Key Terms

Focus on Problem Solving

Demonstration 13.1

SPSS

Problems

Chapter 14: Correlation and Regression

Preview

14-1 Introduction

14-2 The Pearson Correlation

14-3 Using and Interpreting the Pearson Correlation

14-4 Hypothesis Tests with the Pearson Correlation

14-5 Alternatives to the Pearson Correlation

14-6 Introduction to Linear Equations and Regression

Summary

Key Terms

Focus on Problem Solving

Demonstration 14.1

SPSS

Problems

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

Preview

15-1 Introduction to Chi-Square: The Test for Goodness of Fit

15-2 An Example of the Chi-Square Test for Goodness of Fit

15-3 The Chi-Square Test for Independence

15-4 Effect Size and Assumptions for the Chi-Square Tests

Summary

Key Terms

Focus on Problem Solving

Demonstration 15.1

Demonstration 15.2

SPSS

Problems

Appendixes

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

Name Index

Subject Index