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Many students appear unaware that they are using statistics and research methods in their daily lives. When I mention statistics in the research methods course, some get very anxious and remind me that they are not 'math people.' Statistics for People Who (Think They) Hate Statistics is a helpful supplemental text for a research methods course. It provides a different perspective regarding how statistics are used and helps students retrieve and build on their statistics knowledge. The text uses humor and interesting examples and helps illustrate why certain research issues are important. --Adele Crudden Salkind and Frey have written an informative and comprehensive text for the introductory statistics course that is also funny and disarming. My graduate students - many of whom exhibit an initial wariness toward math courses and long-dormant math skills - have found it to be an unexpected pleasure and an accessible read. --Diana Dansereau This book has a successful conversion mission. Indeed, it succeeds in converting statistics-shy students into statistics-savvy ardent learners. The re-appearance of this mind-catching treasure is a major plus in the effective teaching and easy learning of an introductory course in descriptive and inferential statistics. --Abdol Abdollahy Zarandi Two of my favorite statistical authors being together in one book may be a dream come true. Both Salkind's and Frey's texts have been a survival manual both for me and for my students. There are very few texts that carry both the weight of statistical grandeur along with the depth of content like this new text does. This is a masterpiece of statistical reference data that meshes the best parts of both authors and fills in the gap following the passing of Salkind. I can't wait to get this new text into the hands of my students and I know that this new book is going to become a foundational pillar in all of my classes. --Jesse Buchholz In its Seventh Edition, Salkind and Frey's book provides a scaffolding journey for anyone that has a desire to learn the principles of statistics. This book begins with a foundation of defining the rudimentary principles of measurement, explains the principles of descriptive statistics, and disentangles the challenging principles of hypothesis testing and inferential statistics. It uses a very easy reading format, and it contains clear instructions to running all statistical procedures in SPSS(R). The book has an amazing retrieval system of resources (data sets, problem exercises and more) that revitalizes teaching and learning. Therefore, I recommend this book without reservation. --Tyrone Bynoe [Statistics for People Who (Think They) Hate Statistics] eases students into concepts with clear intention for each chapter and prompts them to connect everything they've learned. --Russell Brandon Of all the statistics textbooks that I have reviewed, Statistics for People Who (Think They) Hate Statistics is by far the best. --Brittany Landrum . . . Salkind and Frey's Statistics for People Who (Think They) Hate Statistics, Seventh Edition, takes the worrisome topic of statistics and turns it into an enjoyable enterprise. --Amanda Graham This [Seventh Edition] continues to be the best textbook for students not comfortable with statistics. While not sacrificing depth, the text makes difficult topics approachable. This texts meets my students where they are and allows them to gain the needed knowledge and appreciation of statistics. --Christopher Ortega

Salkind is the master of presenting options for data analysis in a logical, straightforward manner so students are able to focus on the meaning rather than the math of statistics. --Jacqueline Craven As with previous editions of this book by Dr. Salkind, this textbook captures the essence of Dr. Salkind's style, talent, and expertise in explaining statistics. Including information and instruction on R software for analysis is a benefit since students can now access a free software program. --Mary Beth Zeni Salkind's book has always been the very best text for introducing my undergraduate students to statistics. Now, it introduces R as well. I will recommend this book to everyone. --Matthew R. Miles Salkind and Shaw do an excellent job of presenting difficult statistical concepts and tools in a highly accessible manner. One of the best introductory statistics textbooks available. --Scott Comparato This text is a thorough and effective packaging of statistical analysis and computational techniques in the R language, which would be highly useful to students from a variety of backgrounds. --Matthew Phillips The value of this text is that it presents complex ideas in a way that people can relate to--using examples, walking through steps, and providing all the additional tools needed to succeed in an introduction to statistics course. --Candace Forbes Bright The text makes statistics accessible for even the most 'math-phobic' student and 'demystifies' the world of R. It is the most comprehensive statistics textbook that walks students through both the mathematical and software steps of doing statistics. --Daniel Scheller There are many textbooks on R, textbooks on Statistics, and textbooks on R and Statistics that are extremely technical, and difficult to read and use. This textbook is the golden mean! --Shlomo Sawilowsky The (late) Dr. Salkind's text continues (with Dr. Shaw's R-integration) to be a readable statistical text that provides a gentle yet surprisingly comprehensive introduction to statistics. For anyone teaching a basic level, introductory level, or first class in statistics, I cannot think of a better text. This R update adds an important element to the Excel and SPSS versions of this inimitable text. --Jeff Savage

Author Information

Neil J. Salkind received his PhD in human development from the University of Maryland, and after teaching for 35 years at the University of Kansas, he was Professor Emeritus in the Department of Psychology and Research in Education, where he collaborated with colleagues and work with students. His early interests were in the area of children's cognitive development, and after research in the areas of cognitive style and (what was then known as) hyperactivity, he was a postdoctoral fellow at the University of North Carolina's Bush Center for Child and Family Policy. His work then changed direction to focus on child and family policy, specifically the impact of alternative forms of public support on various child and family outcomes. He delivered more than 150 professional papers and presentations; written more than 100 trade and textbooks; and is the author of Statistics for People Who (Think They) Hate Statistics (SAGE), Theories of Human Development (SAGE), and Exploring Research (Prentice Hall). He has edited several encyclopedias, including the Encyclopedia of Human Development, the Encyclopedia of Measurement and Statistics, and the Encyclopedia of Research Design. He was editor of Child Development Abstracts and Bibliography for 13 years. He lived in Lawrence, Kansas, where he liked to read, swim with the River City Sharks, work as the proprietor and sole employee of big boy press, bake brownies (see www.statisticsforpeople.com for the recipe), and poke around old Volvos and old houses. Bruce B. Frey, PhD, is an award-winning teacher and scholar at the University of Kansas. He has authored more than 100 research articles and papers. Among his books are the best-selling textbook, Statistics for People Who (Think They) Hate Statistics, Modern Classroom Assessment, and There's a Stat for That!, all published by SAGE, and Stat Hacks published by O'Reilly. He is the editor of The SAGE Encyclopedia of Educational Research, Measurement, and Evaluation. In his free time, he celebrates bubblegum pop music of the late 1960s on his popular podcast, Echo Valley.

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