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Synopsis
Written in a clear and lively tone, Statistics Using IBM SPSS provides a data-centric approach to statistics with integrated SPSS (version 22) commands, ensuring that students gain both a deep conceptual understanding of statistics and practical facility with the leading statistical software package. With 100 worked examples, the textbook guides students through statistical practice using real data and avoids complicated mathematics. Numerous end-of-chapter exercises allow students to apply and test their understanding of chapter topics, with detailed answers available online. The third edition has been updated throughout and includes a new chapter on research design, new topics (including weighted mean, resampling with the bootstrap, the role of the syntax file in workflow management, and regression to the mean), and new examples and exercises. Student learning is supported by a rich suite of online resources, including answers to end-of-chapter exercises, real data sets, PowerPoint slides, and a test bank.
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About the Authors
Sharon Lawner Weinberg is Professor of Applied Statistics and Psychology and former Vice Provost for Faculty Affairs at New York University. She has authored numerous articles, books, and reports on statistical methods, statistical education, and evaluation, as well as in applied disciplines, such as psychology, education, and health. She is the recipient of several major grants, including a recent grant from the Sloan Foundation to support her current work with NYU colleagues to evaluate the New York City Gifted and Talented programs.
Sarah Knapp Abramowitz is Professor of Mathematics and Computer Science at Drew University. She received her PhD in Mathematics Education from New York University and is an Associate Editor of the Journal of Statistics Education.
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Statistics Using IBM SPSS: An Integrative Approach
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Statistics Using IBM SPSS: An Integrative Approach
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