Statistics for the Behavioral and Social Sciences

Statistics for the Behavioral and Social Sciences
Author: Arthur Aron (Ph. D.)
Publsiher: Unknown
Total Pages: 514
Release: 2018
ISBN 10: 9780205989249
ISBN 13: 0205989241
Language: EN, FR, DE, ES & NL

Statistics for the Behavioral and Social Sciences Book Review:

Key Terms; Example Worked-Out Problems; Practice Problems; Using SPSS; Answers to "How are you doing?"; 2 The Mean, Variance, Standard Deviation, and Z Scores; Representative Values; Bringing Statistics to Life Box 2-1 The Psychology of Statistics and the Tyranny of the Mean; Variability; Z Scores; Mean, Variance, Standard Deviation, and Z Scores in Research Articles; Learning Aids; Summary; Key Terms; Example Worked-Out Problems; Practice Problems; Using SPSS; Answers to "How are you doing?"; 3 Correlation and Prediction; Graphing Correlations; Patterns of Correlation

Statistics for Behavioual and Social Sciences

Statistics for Behavioual and Social Sciences
Author: Banamali Mohanty,Santa Misra
Publsiher: Unknown
Total Pages: 1482
Release: 2015-11
ISBN 10: 9789351501817
ISBN 13: 9351501817
Language: EN, FR, DE, ES & NL

Statistics for Behavioual and Social Sciences Book Review:

This text presents the major statistical concepts, methods and designs, and their analyses in simple, easily accessible language.

Fundamental Statistics for the Social and Behavioral Sciences

Fundamental Statistics for the Social and Behavioral Sciences
Author: Howard T. Tokunaga
Publsiher: SAGE Publications
Total Pages: 712
Release: 2018-09-12
ISBN 10: 1506377467
ISBN 13: 9781506377469
Language: EN, FR, DE, ES & NL

Fundamental Statistics for the Social and Behavioral Sciences Book Review:

Fundamental Statistics for the Social and Behavioral Sciences, Second Edition, places statistics within the research process, illustrating how they are used to answer questions and test ideas. Students learn not only how to calculate statistics, but also how to interpret and communicate the results of statistical analyses in light of a study’s research hypothesis. Featuring accessible writing and well-integrated research examples, the book gives students a greater understanding of how research studies are conceived, conducted, and communicated. The Second Edition includes a new chapter on regression; covers how collected data can be organized, presented and summarized; the process of conducting statistical analyses to test research questions, hypotheses, and issues/controversies; and examines statistical procedures used in research situations that vary in the number of independent variables in the study. Every chapter includes learning checks, such as review questions and summary boxes, to reinforce the content students just learned, and exercises at the end of every chapter help assess their knowledge. Also new to the Second Edition -- animated video tutorials! Watch the demo video from Chapter 2 now! Corrections: there are a small number of corrections for the text′s Appendix posted here.

Using Basic Statistics in the Behavioral and Social Sciences

Using Basic Statistics in the Behavioral and Social Sciences
Author: Annabel Ness Evans
Publsiher: SAGE Publications
Total Pages: 624
Release: 2013-06-06
ISBN 10: 1483323617
ISBN 13: 9781483323619
Language: EN, FR, DE, ES & NL

Using Basic Statistics in the Behavioral and Social Sciences Book Review:

Using Basic Statistics in the Behavioral and Social Sciences, Fifth Edition, by Annabel Ness Evans, presents introductory statistics in a practical, conceptual, and humorous way, reducing the anxiety that many students experience in introductory courses. Avoiding complex notation and derivation, the book focuses on helping readers develop an understanding of the underlying logic of statistics. Practical Focus on Research boxes engage students with realistic applications of statistics, and end-of-chapter exercises ensure student comprehension. This exciting new edition includes a greater number of realistic and engaging global examples within the social and behavioral sciences, making it ideal for use within many departments or in interdisciplinary settings.

Basic Statistics for the Behavioral and Social Sciences Using R

Basic Statistics for the Behavioral and Social Sciences Using R
Author: Wendy Zeitlin,Charles Auerbach
Publsiher: Oxford University Press
Total Pages: 352
Release: 2019-02-25
ISBN 10: 019062020X
ISBN 13: 9780190620202
Language: EN, FR, DE, ES & NL

Basic Statistics for the Behavioral and Social Sciences Using R Book Review:

Ideal for introductory statistics courses at both the undergraduate and graduate levels, Basic Statistics for the Behavioral and Social Sciences Using R is specifically designed to make adoption simple in a variety of disciplines. The text includes topics typically covered in introductory textbooks: probability, descriptive statistics, visualization, comparisons of means, tests of association, correlations, OLS regression, and power analysis. However, it also transcends other books at this level by covering topics such as bootstrapping and an introduction to R, for those who are novices to this powerful tool. In a straightforward and easy-to-understand format, the authors provide readers with a plethora of freely available and robust resources and examples that are applicable to a wide variety of behavioral and social science disciplines, including social work, psychology, and physical and occupational therapy. The book is a must-read for all professors and students endeavoring to learn basic statistics.

Statistical Applications for the Behavioral and Social Sciences

Statistical Applications for the Behavioral and Social Sciences
Author: K. Paul Nesselroade, Jr,Laurence G. Grimm
Publsiher: John Wiley & Sons
Total Pages: 964
Release: 2018-12-06
ISBN 10: 1119355397
ISBN 13: 9781119355397
Language: EN, FR, DE, ES & NL

Statistical Applications for the Behavioral and Social Sciences Book Review:

An updated edition of a classic text on applying statistical analyses to the social sciences, with reviews, new chapters, an expanded set of post-hoc analyses, and information on computing in Excel and SPSS Now in its second edition,Statistical Applications for the Behavioral and Social Sciences has been revised and updated and continues to offer an essential guide to the conceptual foundations of statistical analyses (particularly inferential statistics), placing an emphasis on connecting statistical tools with appropriate research contexts. Designed to be accessible, the text contains an applications-oriented, step-by-step presentation of the statistical theories and formulas most often used by the social sciences. The revised text also includes an entire chapter on the basic concepts in research, presenting an overall context for all the book's statistical theories and formulas. The authors cover descriptive statistics and z scores, the theoretical underpinnings of inferential statistics, z and t tests, power analysis, one/two-way and repeated-measures ANOVA, linear correlation and regression, as well as chi-square and other nonparametric tests. The second edition also includes a new chapter on basic probability theory. This important resource: Contains information regarding the use of statistical software packages; both Excel and SPSS Offers four strategically positioned and accumulating reviews, each containing a set of research-oriented diagnostic questions designed to help students determine which tests are applicable to which research scenarios Incorporates additional statistical information on follow-up analyses such as post-hoc tests and effect sizes Includes a series of sidebar discussions dispersed throughout the text that address, among other topics, the recent and growing controversy regarding the failed reproducibility of published findings in the social sciences Puts renewed emphasis on presentation of data and findings using the APA format Includes supplementary material consisting of a set of "kick-start" quizzes designed to get students quickly back up to speed at the start of an instructional period, and a complete set of ready-to-use PowerPoint slides for in-class use Written for students in areas such as psychology, sociology, criminology, political science, public health, and others, Statistical Applications for the Behavioral and Social Sciences, Second Edition continues to provide the information needed to understand the foundations of statistical analyses as relevant to the behavioral and social sciences.

Nonparametric Statistics for Social and Behavioral Sciences

Nonparametric Statistics for Social and Behavioral Sciences
Author: M. Kraska-MIller
Publsiher: CRC Press
Total Pages: 260
Release: 2013-12-09
ISBN 10: 1466507624
ISBN 13: 9781466507623
Language: EN, FR, DE, ES & NL

Nonparametric Statistics for Social and Behavioral Sciences Book Review:

Incorporating a hands-on pedagogical approach, Nonparametric Statistics for Social and Behavioral Sciences presents the concepts, principles, and methods used in performing many nonparametric procedures. It also demonstrates practical applications of the most common nonparametric procedures using IBM’s SPSS software. This text is the only current nonparametric book written specifically for students in the behavioral and social sciences. Emphasizing sound research designs, appropriate statistical analyses, and accurate interpretations of results, the text: Explains a conceptual framework for each statistical procedure Presents examples of relevant research problems, associated research questions, and hypotheses that precede each procedure Details SPSS paths for conducting various analyses Discusses the interpretations of statistical results and conclusions of the research With minimal coverage of formulas, the book takes a nonmathematical approach to nonparametric data analysis procedures and shows students how they are used in research contexts. Each chapter includes examples, exercises, and SPSS screen shots illustrating steps of the statistical procedures and resulting output.

A Guide to R for Social and Behavioral Science Statistics

A Guide to R for Social and Behavioral Science Statistics
Author: Brian Joseph Gillespie,Kathleen Charli Hibbert,William E. Wagner, III
Publsiher: SAGE Publications
Total Pages: 304
Release: 2020-02-07
ISBN 10: 1544344007
ISBN 13: 9781544344003
Language: EN, FR, DE, ES & NL

A Guide to R for Social and Behavioral Science Statistics Book Review:

A Guide to R for Social and Behavioral Science Statistics is a short, accessible book for learning R. This handy guide contains basic information on statistics for undergraduates and graduate students, shown in the R statistical language using RStudio®. The book is geared toward social and behavioral science statistics students, especially those with no background in computer science. Written as a companion book to be used alongside a larger introductory statistics text, the text follows the most common progression of statistics for social scientists. The guide also serves as a companion for conducting data analysis in a research methods course or as a stand-alone R and statistics text. This guide can teach anyone how to use R to analyze data, and uses frequent reminders of basic statistical concepts to accompany instructions in R to help walk students through the basics of learning how to use R for statistics.

Statistics for the Behavioral and Social Sciences

Statistics for the Behavioral and Social Sciences
Author: Arthur Aron,Elliot J. Coups,Elaine N. Aron
Publsiher: Pearson College Division
Total Pages: 483
Release: 2010-06-30
ISBN 10: 9780205797257
ISBN 13: 0205797253
Language: EN, FR, DE, ES & NL

Statistics for the Behavioral and Social Sciences Book Review:

For one-quarter/semester courses that focus on the basics or combine statistics with research methods. By using definitional formulas to emphasize the concepts of statistics, rather than rote memorization, students work problems in a way that keeps them constantly aware of the underlying logic of what they are doing. Here, in the fifth edition of "Statistics for the Behavioral and Social Sciences, t"he authors have refined their text by building off an already well-established approach - emphasizing the intuitive, deemphasizing the mathematical, and explaining everything in direct, simple language - but also going beyond these principles to both further student understanding and stimulate the long-suffering community of statistics instructors. By using definitional formulas to emphasize the concepts of statistics, rather than rote memorization, students work problems in a way that keeps them constantly aware of the underlying logic of what they are doing.

Categorical Data Analysis for the Behavioral and Social Sciences

Categorical Data Analysis for the Behavioral and Social Sciences
Author: Razia Azen,Cindy M. Walker
Publsiher: Routledge
Total Pages: 326
Release: 2021-05-27
ISBN 10: 1000383938
ISBN 13: 9781000383935
Language: EN, FR, DE, ES & NL

Categorical Data Analysis for the Behavioral and Social Sciences Book Review:

Featuring a practical approach with numerous examples, the second edition of Categorical Data Analysis for the Behavioral and Social Sciences focuses on helping the reader develop a conceptual understanding of categorical methods, making it a much more accessible text than others on the market. The authors cover common categorical analysis methods and emphasize specific research questions that can be addressed by each analytic procedure, including how to obtain results using SPSS, SAS, and R, so that readers are able to address the research questions they wish to answer. Each chapter begins with a "Look Ahead" section to highlight key content. This is followed by an in-depth focus and explanation of the relationship between the initial research question, the use of software to perform the analyses, and how to interpret the output substantively. Included at the end of each chapter are a range of software examples and questions to test knowledge. New to the second edition: The addition of R syntax for all analyses and an update of SPSS and SAS syntax. The addition of a new chapter on GLMMs. Clarification of concepts and ideas that graduate students found confusing, including revised problems at the end of the chapters. Written for those without an extensive mathematical background, this book is ideal for a graduate course in categorical data analysis taught in departments of psychology, educational psychology, human development and family studies, sociology, public health, and business. Researchers in these disciplines interested in applying these procedures will also appreciate this book’s accessible approach.

Essentials of Statistics for the Social and Behavioral Sciences

Essentials of Statistics for the Social and Behavioral Sciences
Author: Barry H. Cohen,R. Brooke Lea
Publsiher: John Wiley & Sons
Total Pages: 291
Release: 2004-04-01
ISBN 10: 0471480762
ISBN 13: 9780471480761
Language: EN, FR, DE, ES & NL

Essentials of Statistics for the Social and Behavioral Sciences Book Review:

Master the essential statistical skills used in social andbehavioral sciences Essentials of Statistics for the Social and Behavioral Sciencesdistills the overwhelming amount of material covered inintroductory statistics courses into a handy, practical resourcefor students and professionals. This accessible guide covers basicto advanced concepts in a clear, concrete, and readablestyle. Essentials of Statistics for the Social and Behavioral Sciencesguides you to a better understanding of basic concepts ofstatistical methods. Numerous practical tips are presented forselecting appropriate statistical procedures. In addition, thisuseful guide demonstrates how to evaluate and interpret statisticaldata, provides numerous formulas for calculating statistics fromtables of summary statistics, and offers a variety of workedexamples. As part of the Essentials of Behavioral Science series, this bookoffers a thorough review of the most relevant statistical conceptsand techniques that will arm you with the tools you'll need forknowledgeable, informed practice. Each concise chapter featuresnumerous callout boxes highlighting key concepts, bulleted points,and extensive illustrative material, as well as "Test Yourself"questions that help you gauge and reinforce your grasp of theinformation covered.

Statistical Power Analysis for the Behavioral Sciences

Statistical Power Analysis for the Behavioral Sciences
Author: Jacob Cohen
Publsiher: Routledge
Total Pages: 567
Release: 2013-05-13
ISBN 10: 1134742770
ISBN 13: 9781134742776
Language: EN, FR, DE, ES & NL

Statistical Power Analysis for the Behavioral Sciences Book Review:

Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: * a chapter covering power analysis in set correlation and multivariate methods; * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and; * expanded power and sample size tables for multiple regression/correlation.

Modern Statistics for the Social and Behavioral Sciences

Modern Statistics for the Social and Behavioral Sciences
Author: Rand Wilcox
Publsiher: CRC Press
Total Pages: 706
Release: 2017-08-15
ISBN 10: 149879680X
ISBN 13: 9781498796804
Language: EN, FR, DE, ES & NL

Modern Statistics for the Social and Behavioral Sciences Book Review:

Requiring no prior training, Modern Statistics for the Social and Behavioral Sciences provides a two-semester, graduate-level introduction to basic statistical techniques that takes into account recent advances and insights that are typically ignored in an introductory course. Hundreds of journal articles make it clear that basic techniques, routinely taught and used, can perform poorly when dealing with skewed distributions, outliers, heteroscedasticity (unequal variances) and curvature. Methods for dealing with these concerns have been derived and can provide a deeper, more accurate and more nuanced understanding of data. A conceptual basis is provided for understanding when and why standard methods can have poor power and yield misleading measures of effect size. Modern techniques for dealing with known concerns are described and illustrated. Features: Presents an in-depth description of both classic and modern methods Explains and illustrates why recent advances can provide more power and a deeper understanding of data Provides numerous illustrations using the software R Includes an R package with over 1300 functions Includes a solution manual giving detailed answers to all of the exercises This second edition describes many recent advances relevant to basic techniques. For example, a vast array of new and improved methods is now available for dealing with regression, including substantially improved ANCOVA techniques. The coverage of multiple comparison procedures has been expanded and new ANOVA techniques are described. Rand Wilcox is a professor of psychology at the University of Southern California. He is the author of 13 other statistics books and the creator of the R package WRS. He currently serves as an associate editor for five statistics journals. He is a fellow of the Association for Psychological Science and an elected member of the International Statistical Institute.

Statistical Power Analysis for the Social and Behavioral Sciences

Statistical Power Analysis for the Social and Behavioral Sciences
Author: Xiaofeng Steven Liu
Publsiher: Routledge
Total Pages: 400
Release: 2013-11-07
ISBN 10: 1136464182
ISBN 13: 9781136464188
Language: EN, FR, DE, ES & NL

Statistical Power Analysis for the Social and Behavioral Sciences Book Review:

This is the first book to demonstrate the application of power analysis to the newer more advanced statistical techniques that are increasingly used in the social and behavioral sciences. Both basic and advanced designs are covered. Readers are shown how to apply power analysis to techniques such as hierarchical linear modeling, meta-analysis, and structural equation modeling. Each chapter opens with a review of the statistical procedure and then proceeds to derive the power functions. This is followed by examples that demonstrate how to produce power tables and charts. The book clearly shows how to calculate power by providing open code for every design and procedure in R, SAS, and SPSS. Readers can verify the power computation using the computer programs on the book's website. There is a growing requirement to include power analysis to justify sample sizes in grant proposals. Most chapters are self-standing and can be read in any order without much disruption.This book will help readers do just that. Sample computer code in R, SPSS, and SAS at www.routledge.com/9781848729810 are written to tabulate power values and produce power curves that can be included in a grant proposal. Organized according to various techniques, chapters 1 – 3 introduce the basics of statistical power and sample size issues including the historical origin, hypothesis testing, and the use of statistical power in t tests and confidence intervals. Chapters 4 - 6 cover common statistical procedures -- analysis of variance, linear regression (both simple regression and multiple regression), correlation, analysis of covariance, and multivariate analysis. Chapters 7 - 11 review the new statistical procedures -- multi-level models, meta-analysis, structural equation models, and longitudinal studies. The appendixes contain a tutorial about R and show the statistical theory of power analysis. Intended as a supplement for graduate courses on quantitative methods, multivariate statistics, hierarchical linear modeling (HLM) and/or multilevel modeling and SEM taught in psychology, education, human development, nursing, and social and life sciences, this is the first text on statistical power for advanced procedures. Researchers and practitioners in these fields also appreciate the book‘s unique coverage of the use of statistical power analysis to determine sample size in planning a study. A prerequisite of basic through multivariate statistics is assumed.

Statistics for The Behavioral Sciences

Statistics for The Behavioral Sciences
Author: Frederick J Gravetter,Larry B. Wallnau
Publsiher: Cengage Learning
Total Pages: 768
Release: 2016-01-01
ISBN 10: 1305856422
ISBN 13: 9781305856424
Language: EN, FR, DE, ES & NL

Statistics for The Behavioral Sciences Book Review:

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. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

The Behavioral and Social Sciences

The Behavioral and Social Sciences
Author: National Research Council,Division of Behavioral and Social Sciences and Education,Commission on Behavioral and Social Sciences and Education,Committee on Basic Research in the Behavioral and Social Sciences
Publsiher: National Academies Press
Total Pages: 304
Release: 1988-02-01
ISBN 10: 0309037492
ISBN 13: 9780309037495
Language: EN, FR, DE, ES & NL

The Behavioral and Social Sciences Book Review:

This volume explores the scientific frontiers and leading edges of research across the fields of anthropology, economics, political science, psychology, sociology, history, business, education, geography, law, and psychiatry, as well as the newer, more specialized areas of artificial intelligence, child development, cognitive science, communications, demography, linguistics, and management and decision science. It includes recommendations concerning new resources, facilities, and programs that may be needed over the next several years to ensure rapid progress and provide a high level of returns to basic research.

Statistics for the Behavioral Sciences

Statistics for the Behavioral Sciences
Author: Gregory J. Privitera
Publsiher: SAGE
Total Pages: 664
Release: 2011-09-07
ISBN 10: 141296931X
ISBN 13: 9781412969314
Language: EN, FR, DE, ES & NL

Statistics for the Behavioral Sciences Book Review:

Statistics for the Behavioral Sciences is an introduction to statistics text that will engage students in an ongoing spirit of discovery by illustrating how statistics apply to modern-day research problems. By integrating instructions, screenshots, and practical examples for using IBM SPSS® Statistics software, the book makes it easy for students to learn statistical concepts within each chapter. Gregory J. Privitera takes a user-friendly approach while balancing statistical theory, computation, and application with the technical instruction needed for students to succeed in the modern era of data collection, analysis, and statistical interpretation.

Modern Statistics for the Social and Behavioral Sciences

Modern Statistics for the Social and Behavioral Sciences
Author: Rand Wilcox
Publsiher: CRC Press
Total Pages: 862
Release: 2011-08-05
ISBN 10: 1439834563
ISBN 13: 9781439834565
Language: EN, FR, DE, ES & NL

Modern Statistics for the Social and Behavioral Sciences Book Review:

In addition to learning how to apply classic statistical methods, students need to understand when these methods perform well, and when and why they can be highly unsatisfactory. Modern Statistics for the Social and Behavioral Sciences illustrates how to use R to apply both standard and modern methods to correct known problems with classic techniques. Numerous illustrations provide a conceptual basis for understanding why practical problems with classic methods were missed for so many years, and why modern techniques have practical value. Designed for a two-semester, introductory course for graduate students in the social sciences, this text introduces three major advances in the field: Early studies seemed to suggest that normality can be assumed with relatively small sample sizes due to the central limit theorem. However, crucial issues were missed. Vastly improved methods are now available for dealing with non-normality. The impact of outliers and heavy-tailed distributions on power and our ability to obtain an accurate assessment of how groups differ and variables are related is a practical concern when using standard techniques, regardless of how large the sample size might be. Methods for dealing with this insight are described. The deleterious effects of heteroscedasticity on conventional ANOVA and regression methods are much more serious than once thought. Effective techniques for dealing heteroscedasticity are described and illustrated. Requiring no prior training in statistics, Modern Statistics for the Social and Behavioral Sciences provides a graduate-level introduction to basic, routinely used statistical techniques relevant to the social and behavioral sciences. It describes and illustrates methods developed during the last half century that deal with known problems associated with classic techniques. Espousing the view that no single method is always best, it imparts a general understanding of the relative merits of various techniques so that the choice of method can be made in an informed manner.

Research Methods for the Behavioral and Social Sciences

Research Methods for the Behavioral and Social Sciences
Author: Bart L. Weathington,Christopher J. L. Cunningham,David J. Pittenger
Publsiher: John Wiley & Sons
Total Pages: 672
Release: 2017-09-13
ISBN 10: 1119470072
ISBN 13: 9781119470076
Language: EN, FR, DE, ES & NL

Research Methods for the Behavioral and Social Sciences Book Review:

A comprehensive introduction to research methods and best practices for designing,conducting, interpreting, and reporting findings This text is designed to develop in students a passion for conducting research and an understanding of the practical value of systematic information- gathering and decision-making. It features step-by-step coverage of the research process including research design, statistical considerations, and guidance on writing up and presenting results. Recognized leaders in the field—authors Bart Weathington, Christopher Cunningham, and David Pittenger—present: Introductions to multiple research designs—including single-participant, multi-group, longitudinal, correlational, and experimental designs—accompanied by examples Bibliographic research and methods for appropriate sampling Identifying, developing, and evaluating reliable and valid approaches to measurement The issues and steps common to all single-factor and multifactor studies, as well as single-subject and nonexperimental methods How to summarize research in writing that conforms to the editorial guidelines of the American Psychological Association A comprehensive review of research methods and the statistical concepts that support them, Research Methods for the Behavioral and Social Sciences offers the best techniques for studying behavior and social phenomena.

Social and Behavioral Statistics

Social and Behavioral Statistics
Author: Steven P. Schacht
Publsiher: Routledge
Total Pages: 324
Release: 2018-05-04
ISBN 10: 0429965850
ISBN 13: 9780429965852
Language: EN, FR, DE, ES & NL

Social and Behavioral Statistics Book Review:

Revised and updated to include the behavioral sciences, the second edition of this introductory statistics book engages students with real-world examples and exercises. To the dismay of many social and behavioral science majors, successfully passing a statistics course in sociology, psychology, and most other social/behavioral science programs is required, and at many institutions statistics is becoming a university-wide requirement. In this newly revised text, the authors continue to make use of their proven stress-busting approach to teaching statistics to self-describe math phobic students. This book uses humorous examples and step-by-step presentations of statistical procedures to illustrate what are often complex and hard-to-grasp statistical concepts. Students and instructors will find this text to be a helpful, easy to interpret and thoroughly comprehensive introduction to social and behavioral statistics. Perfect for social and behavioral sciences upper-level undergrads fearful of that required stats course. It uses stress-busting features like cartoons and real-world examples to illustrate what are often complex and hard-to-grasp statistical concepts. Includes the newest and most necessary tools for students to master statistical skills making handouts or additional books unnecessary and gives instructors and their students a compact and affordable main text for their introductory stats courses.