# Fundamental Statistics for the Social and Behavioral Sciences

- Howard T. Tokunaga - San Jose State University, USA

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1.1 What Is Statistics? |

1.2 Why Learn Statistics? |

1.3 Introduction to the Stages of the Research Process |

1.4 Plan of the Book |

2.1 An Example From the Research: Winning the Lottery |

2.2 Why Examine Data? |

2.3 Examining Data Using Tables |

2.4 Grouped Frequency Distribution Tables |

2.5 Examining Data Using Figures |

2.6 Examining Data: Describing Distributions |

3.1 An Example From the Research: The 10% Myth |

3.2 Understanding Central Tendency |

3.3 The Mode |

3.4 The Median |

3.5 The Mean |

3.6 Comparison of the Mode, Median, and Mean |

3.7 Measures of Central Tendency: Drawing Conclusions |

4.1 An Example From the Research: How Many “Sometimes” in an “Always”? |

4.2 Understanding Variability |

4.3 The Range |

4.4 The Interquartile Range |

4.5 The Variance (s2) |

4.6 The Standard Deviation (s) |

4.7 Measures of Variability for Populations |

4.8 Measures of Variability: Drawing Conclusions |

5.1 Example: SAT Scores |

5.2 Normal Distributions |

5.3 The Standard Normal Distribution |

5.4 Applying z-Scores to Normal Distributions |

5.5 Standardizing Frequency Distributions |

6.1 A Brief Introduction to Probability |

6.2 Example: Making Heads or Tails of the Super Bowl |

6.3 Introduction to Hypothesis Testing |

6.4 Issues Related to Hypothesis Testing: An Introduction |

7.1 An Example From the Research: Do You Read Me? |

7.2 The Sampling Distribution of the Mean |

7.3 Inferential Statistics: Testing One Sample Mean (s Known) |

7.4 A Second Example From the Research: Unique Invulnerability |

7.5 Introduction to the t-Distribution |

7.6 Inferential Statistics: Testing One Sample Mean (s Not Known) |

7.7 Factors Affecting the Decision About the Null Hypothesis |

8.1 An Example From the Research: Salary Survey |

8.2 Introduction to the Confidence Interval for the Mean |

8.3 The Confidence Interval for the Mean (s Not Known) |

8.4 The Confidence Interval for the Mean (s Known) |

8.5 Factors Affecting the Width of the Confidence Interval for the Mean |

8.6 Interval Estimation and Hypothesis Testing |

9.1 An Example From the Research: You Can Just Wait |

9.2 The Sampling Distribution of the Difference |

9.3 Inferential Statistics: Testing the Difference Between Two Sample Means |

9.4 Inferential Statistics: Testing the Difference Between Two Sample Means (Unequal Sample Sizes) |

9.5 Inferential Statistics: Testing the Difference Between Paired Means |

10.1 Hypothesis Testing vs. Criminal Trials |

10.2 An Example From the Research: Truth or Consequences |

10.3 Two Errors in Hypothesis Testing: Type I and Type II Error |

10.4 Controlling Type I and Type II Error |

10.5 Measures of Effect Size |

11.1 An Example From the Research: It’s Your Move |

11.2 Introduction to Analysis of Variance (ANOVA) |

11.3 Inferential Statistics: One-Way Analysis of Variance (ANOVA) |

11.4 A Second Example: The Parking Lot Study Revisited |

11.5 Analytical Comparisons Within the One-Way ANOVA |

12.1 An Example From the Research: Vote—or Else! |

12.2 Introduction to Factorial Research Designs |

12.3 The Two-Factor (A × B) Research Design |

12.4 Introduction to Analysis of Variance (ANOVA) for the Two-Factor Research Design |

12.5 Inferential Statistics: Two-Way Analysis of Variance (ANOVA) |

12.6 Investigating a Significant A × B Interaction Effect: Analysis of Simple Effects |

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13.1 An Example From the Research: Snap Judgment |

13.2 Introduction to the Concept of Correlation |

13.3 Inferential Statistics: Pearson Correlation Coefficient |

13.4 Predicting One Variable From Another: Linear Regression |

13.5 Correlating Two Sets of Ranks: The Spearman Rank-Order Correlation |

13.6 Correlational Statistics vs. Correlational Research |

14.1 An Example From the Research (One Categorical Variable): Are You My Type? |

14.2 Introduction to the Chi-Square Statistic |

14.3 Inferential Statistic: Chi-Square Goodness-of-Fit Test |

14.4 An Example From the Research (Two Categorical Variables): Seeing Red |

14.5 Inferential Statistic: Chi-Square Test of Independence |

14.6 Parametric and Nonparametric Statistical Tests |

### Supplements

** SAGE edge for Instructors,** supports teaching by making it easy to integrate quality content and create a rich learning environment for students.

**Test banks**provide a diverse range of pre-written options as well as the opportunity to edit any question and/or insert personalized questions to effectively assess students’ progress and understanding**Sample course syllabi**for semester and quarter courses provide suggested models for structuring one’s course- Editable, chapter-specific
**PowerPoint**offer complete flexibility for creating a multimedia presentation for the course^{®}slides **Lecture notes**ease preparation for lectures and class discussions- The Instructor Teaching Site includes
**SPSS****data sets**for exercises in the book. **Web and multimedia resources**are included for further research and insights.

__SAGE edge____ for Students__

**provides a personalized approach to help students accomplish their coursework goals in an easy-to-use learning environment.**

- Mobile-friendly
**eFlashcards**strengthen understanding of key terms and concepts - Mobile-friendly practice
**quizzes**allow for independent assessment by students of their mastery of course material - A customized online
**action plan**includes tips and feedback on progress through the course and materials, which allows students to individualize their learning experience **Learning objectives**reinforce the most important material**Web and multimedia resources**are included for further insights.**SPSS data files**for exercises in the book are provided on the open-access student study site.

"This textbook is very well written. It is very easy to read and is easy to follow the material presented. There are a lot of good practical examples that students can easily relate to. It seems that there are more exercise problems at the end of each chapter compared to other textbooks, which is a big plus."

“I like that it [Fundamental Statistics for the Social and Behavioral Sciences] incorporates SPSS examples in each relevant chapter and gives a detailed description of how each formula is done, what the steps to each analysis is, and applying it to a real life problem...The book lays out the formulas step by step. Most students in my experience have a problem with formulas when you move beyond the simple calculation of the mean. I think that the formulas are well laid out with a step-by-step guide on how to calculate each with the appropriate explanation of each step and the final product of the equation.”

This is an excellent statistics textbook - there are many features that make this a very valuable tool. It has an overview of basis mathematics at the end, useful for those whose last maths session is some time ago. It also includes a range of useful tables, lots of exercises, learning checks with answers and detailed instructions on how to use SPSS for each section. Altogether a very useful book.

**School of Business, University of Wales, Trinity St David**

Clear explanations without too much "fluff" (in contrast to the Field books).

**College Of Education, University Of Alabama**

This textbook provides a thorough introduction to the topics at the foundation of data analysis. It is well written and well structured. It is useful for revising the basics, or when one is looking for alternative explanations of statistical phenomena. I recommend it to my students as a complementary source.

**School of the Social Sciences, National Research University Higher School of Economics**

HEOA Compliance

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**Available formats**

ISBN: 9781544312149 | Electronic Version | Suggested Retail Price: $75.00 | Bookstore Price: $60.00 |

ISBN: 9781483381190 | Electronic Version | Suggested Retail Price: $75.00 | Bookstore Price: $60.00 |

ISBN: 9781483318790 | Paperback | Suggested Retail Price: $94.00 | Bookstore Price: $75.20 |

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