Elementary Statistics In Social Research Updated Edition

This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. For courses in Statistics for Social Workers An introduction to statistics in the social sciences that balances theory and practice Elementary Statistics in Social Research provides a balanced overview of statistical analysis in the social sciences, providing coverage of both theoretical concepts and step-by-step computational techniques. Throughout this best-selling text, authors Jack Levin, James Alan Fox, and David Forde make statistics accessible to all readers, particularly those without a strong background in mathematics. Throughout the Twelfth Edition, detailed, step-by-step illustrations of statistical procedures help students to better grasp key concepts.

Key Topic: This best-selling introduction to statistical analysis in the social sciences provides the right balance of conceptual understanding and step-by-step computational techniques. Key Benefit: Written to be understandable to a broad range of students, particularly those without a strong background in mathematics.

A shorter, simplified, paperback, and less expensive version of Levin and Fox's popular introduction to statistics in the social sciences.

Key Topic: This best-selling introduction to statistical analysis in the social sciences provides the right balance of conceptual understanding and step-by-step computational techniques. Key Benefit: Written to be understandable to a broad range of students, particularly those without a strong background in mathematics.

Provides an understanding of statistics in the social sciences. This best-selling introduction to statistical analysis in the social sciences provides the right balance of conceptual understanding and step-by-step computational techniques. The eleventh edition of Elementary Statistics in Social Research is written to be understandable to all readers, particularly those without a strong background in mathematics. This text is available in a variety of formats - print and digital. Check your favorite digital provider for your etext, including Coursesmart, Kindle, Nook, and more. To learn more about our programs, pricing options and customization, click the Choices tab. Learning Goals Upon completing this book, readers will be able to: Develop an understanding of the importance of statistics in the social sciences. Note: MySearchLab does not come automatically packaged with this text. To purchase MySearchLab, please visit: www.mysearchlab.com or you can purchase a ValuePack of the text + NEW MySearchLab (at no additional cost): ValuePack ISBN-10: 0205959814 / ValuePack ISBN-13: 9780205959815.

For courses in Statistics for Social Workers An introduction to statistics in the social sciences that balances theory and practice Elementary Statistics in Social Research provides a balanced overview of statistical analysis in the social sciences, providing coverage of both theoretical concepts and step-by-step computational techniques. Throughout this best-selling text, authors Jack Levin, James Alan Fox, and David Forde make statistics accessible to all readers, particularly those without a strong background in mathematics. Throughout the Twelfth Edition, detailed, step-by-step illustrations of statistical procedures help students to better grasp key concepts. NOTE: This ISBN is for a Pearson Books a la Carte edition: a convenient, three-hole-punched, loose-leaf text. In addition to the flexibility offered by this format, Books a la Carte editions offer students great value, as they cost significantly less than a bound textbook. Elementary Statistics in Social Research, Twelfth Edition is also available via REVEL(tm), an interactive learning environment that enables students to read, practice, and study in one continuous experience.

An introduction to statistics in the social sciences that balances theory and practice REVEL(TM) for Elementary Statistics in Social Research provides a balanced overview of statistical analysis in the social sciences, providing coverage of both theoretical concepts and step-by-step computational techniques. Throughout this best-selling text, authors Jack Levin, James Alan Fox, and David Forde make statistics accessible to all readers, particularly those without a strong background in mathematics. Throughout REVEL for the Twelfth Edition, detailed, step-by-step illustrations of statistical procedures help students to better grasp key concepts. REVEL is Pearson's newest way of delivering our respected content. Fully digital and highly engaging, REVEL replaces the textbook and gives students everything they need for the course. Informed by extensive research on how people read, think, and learn, REVEL is an interactive learning environment that enables students to read, practice, and study in one continuous experience - for less than the cost of a traditional textbook. NOTE: This Revel Combo Access pack includes a Revel access code plus a loose-leaf print reference (delivered by mail) to complement your Revel experience. In addition to this access code, you will need a course invite link, provided by your instructor, to register for and use Revel.

This book covers applied statistics for the social sciences with upper-level undergraduate students in mind. The chapters are based on lecture notes from an introductory statistics course the author has taught for a number of years. The book integrates statistics into the research process, with early chapters covering basic philosophical issues underpinning the process of scientific research. These include the concepts of deductive reasoning and the falsifiability of hypotheses, the development of a research question and hypotheses, and the process of data collection and measurement. Probability theory is then covered extensively with a focus on its role in laying the foundation for statistical reasoning and inference. After illustrating the Central Limit Theorem, later chapters address the key, basic statistical methods used in social science research, including various z and t tests and confidence intervals, nonparametric chi square tests, one-way analysis of variance, correlation, simple regression, and multiple regression, with a discussion of the key issues involved in thinking about causal processes. Concepts and topics are illustrated using both real and simulated data. The penultimate chapter presents rules and suggestions for the successful presentation of statistics in tabular and graphic formats, and the final chapter offers suggestions for subsequent reading and study.