Statistics in Plain English
Statistics in Plain English by Timothy C. Urdan, published by Routledge in 2022, is a comprehensive guide that offers a straightforward introduction to statistics. This fifth edition spans 303 pages and is presented in English. The book provides a conversational overview of various statistical concepts, detailing what each statistic does, when to use it, and how it works. Each chapter includes practical examples from real-world research, along with sections that guide readers on writing about statistics and practice problems to reinforce understanding.
Readers will find a wealth of information on both traditional and contemporary statistical methods, including a new chapter on person-centered analyses, which highlights techniques like cluster analysis and latent class analysis. The text also enhances the discussion on non-parametric statistics, offering in-depth descriptions of key analyses such as Mann-Whitney U and Wilcoxon Signed-Rank. With a focus on the assumptions underlying various statistics and the importance of the normal distribution, this edition serves as both a standalone resource and a supplement for those studying statistics in fields such as business, economics, and education.
Official synopsis Publisher
* It is a straightforward, conversational introduction to statistics that delivers exactly what its title promises.
* Each chapter begins with a brief overview of a statistic that describes what the statistic does and when to use it, followed by a detailed step-by-step explanation of how the statistic works and exactly what information it provides.
* Chapters also include an example of the statistic (or statistics) in use in real-world research, “Worked Examples,” “Writing It Up” sections that demonstrate how to write about each statistic, “Wrapping Up and Looking Forward” sections, and practice work problems.
* A new chapter on person-centered analyses, including cluster analysis and latent class analysis (LCA) has been added (Chapter 16).
* Person-centered analysis is an important alternative to the more commonly used variable-centered analyses (e.g., t tests, ANOVA, regression) and is gaining popularity in social-science research.
* The chapter on non-parametric statistics (Chapter 14) was enhanced significantly with in-depth descriptions of Mann-Whitney U, Kruskall-Wallace, and Wilcoxon Signed-Rank analyses.
* These non-parametric statistics are important alternatives to statistics that rely on normally distributed data.
* This new edition also includes more information about the assumptions of various statistics, including a detailed explanation of the assumptions and consequences of violating the assumptions of regression (Chapter 13).
* There is more information provided about the importance of the normal distribution in statistics (Chapters 4 and 7).
* Each of the last nine chapters includes an example from the real world of research that employs the statistic, or statistics, covered in the chapter.
* Altogether, these improvements provide important foundational information about how inferential statistics work and additional statistical tools that are commonly used by researchers in the social sciences.
* The text works as a standalone or as a supplement and covers a range of statistical concepts from descriptive statistics to factor analysis and person-centered analyses.
Publisher
Topics
FAQ
What is “Statistics in Plain English” about?
Who is the author of “Statistics in Plain English”?
When was “Statistics in Plain English” published?
What is the ISBN for “Statistics in Plain English”?
What are the book details (language, pages, edition)?
