Statistics for People Who (Think They) Hate Statistics - 7th Edition by Neil J Salkind & Bruce B Frey (Paperback)
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<p/><br></br><p><b> About the Book </b></p></br></br>Now in its <strong>Seventh Edition</strong>, Neil J. Salkind's bestselling <strong>Statistics for People Who (Think They) Hate Statistics</strong> with new co-author Bruce B. Frey teaches an often intimidating subject with a humorous, personable, and informative approach that reduces statistics anxiety. With instruction in SPSS(R), the authors guide students through basic and advanced statistical procedures, from correlation and graph creation to analysis of variance, regression, non-parametric tests, and more. The <strong>Seventh Edition</strong> includes new real-world examples, additional coverage on multiple regression and power and effect size, and a robust interactive eBook with video tutorials and animations of key concepts. In the end, students who (think they) hate statistics will understand how to explain the results of many statistical analyses and won't be intimidated by basic statistical tasks.<p/><br></br><p><b> Book Synopsis </b></p></br></br>Now in its <strong>Seventh Edition</strong>, Neil J. Salkind's bestselling <strong>Statistics for People Who (Think They) Hate Statistics</strong> with new co-author Bruce B. Frey teaches an often intimidating subject with a humorous, personable, and informative approach that reduces statistics anxiety. With instruction in SPSS(R), the authors guide students through basic and advanced statistical procedures, from correlation and graph creation to analysis of variance, regression, non-parametric tests, and more. The <strong>Seventh Edition</strong> includes new real-world examples, additional coverage on multiple regression and power and effect size, and a robust interactive eBook with video tutorials and animations of key concepts. In the end, students who (think they) hate statistics will understand how to explain the results of many statistical analyses and won't be intimidated by basic statistical tasks.<p/><br></br><p><b> Review Quotes </b></p></br></br><br><p><em> . . . Salkind and Frey's <strong>Statistics for People Who (Think They) Hate Statistics, Seventh Edition</strong>, takes the worrisome topic of statistics and turns it into an enjoyable enterprise.</em></p> <br/>--Amanda Graham<br><br><p><em><strong>[Statistics for People Who (Think They) Hate Statistics]</strong> eases students into concepts with clear intention for each chapter and prompts them to connect everything they′ve learned. </em></p> <br/>--Russell Brandon<br><br><p><em>In its <strong>Seventh Edition</strong>, 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<sup>(R)</sup>. 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. </em></p> <br/>--Tyrone Bynoe<br><br><p><em>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.' <strong>Statistics for People Who (Think They) Hate Statistics</strong> 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. </em></p> <br/>--Adele Crudden<br><br><p><em>Of all the statistics textbooks that I have reviewed, <strong>Statistics for People Who (Think They) Hate Statistics</strong> is by far the best.</em></p> <br/>--Brittany Landrum<br><br><p><em>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. </em></p> <br/>--Diana Dansereau<br><br><p><em>This <strong>[Seventh Edition]</strong> 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. </em></p> <br/>--Christopher Ortega<br><br><p><em>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. </em></p> <br/>--Abdol Abdollahy Zarandi<br><br><p><em>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. </em></p> <br/>--Jesse Buchholz<br>
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