Statistics Using IBM SPSS: An Integrative Approach

By: Sharon Lawner Weinberg and Sarah Knapp Abramowitz

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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. Avoids calculus and linear algebra and instead grounds concepts in real data examples to ensure simple and clear explanation. Written by highly experienced teachers. Chapter examples and exercises are based on real data, which enables students to understand what it truly means to be a data analys.