Statistics in Plain English (4th Edition)
Format: PDF eTextbooks
ISBN-13: 978-1138838345
ISBN-10: 1138838349
Delivery: Instant Download
Authors: Timothy C. Urdan
Publisher: Routledge
This introductory textbook provides an inexpensive, brief overview of statistics to help readers gain a better understanding of how statistics work and how to interpret them correctly. Each chapter describes a different statistical technique, ranging from basic concepts like central tendency and describing distributions to more advanced concepts such as t tests, regression, repeated measures ANOVA, and factor analysis. Each chapter begins with a short description of the statistic and when it should be used. This is followed by a more in-depth explanation of how the statistic works. Finally, each chapter ends with an example of the statistic in use, and a sample of how the results of analyses using the statistic might be written up for publication. A glossary of statistical terms and symbols is also included. Using the author’s own data and examples from published research and the popular media, the book is a straightforward and accessible guide to statistics.
New features in the fourth edition include:
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- sets of work problems in each chapter with detailed solutions and additional problems online to help students test their understanding of the material,
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- new “Worked Examples” to walk students through how to calculate and interpret the statistics featured in each chapter,
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- new examples from the author’s own data and from published research and the popular media to help students see how statistics are applied and written about in professional publications,
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- many more examples, tables, and charts to help students visualize key concepts, clarify concepts, and demonstrate how the statistics are used in the real world.
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- a more logical flow, with correlation directly preceding regression, and a combined glossary appearing at the end of the book,
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- a Quick Guide to Statistics, Formulas, and Degrees of Freedom at the start of the book, plainly outlining each statistic and when students should use them,
- greater emphasis on (and description of) effect size and confidence interval reporting, reflecting their growing importance in research across the social science disciplines.
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