Sinossi
Engaging and accessible, this comprehensive introduction to statistics integrates Stata commands with numerous examples based on real data.
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Informazioni sugli autori
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 colleagues from New York University to evaluate the New York City Gifted and Talented programs.
Sarah Knapp Abramowitz is Professor of Mathematics and Computer Science at Drew University, where she is also Department Chair and Coordinator of Statistics Instruction. She is the coauthor, with Sharon Lawner Weinberg, of Statistics Using IBM SPSS: An Integrative Approach, 3rd edition (Cambridge, forthcoming 2016) and an Associate Editor of the Journal of Statistics Education.
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Statistics Using Stata: An Integrative Approach
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Statistics Using Stata: An Integrative Approach
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Statistics Using Stata: An Integrative Approach
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Statistics Using Stata
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Taschenbuch. Condizione: Neu. Neuware -Engaging and accessible to students from a wide variety of mathematical backgrounds, Statistics Using Stata combines the teaching of statistical concepts with the acquisition of the popular Stata software package. It closely aligns Stata commands with numerous examples based on real data, enabling students to develop a deep understanding of statistics in a way that reflects statistical practice. Capitalizing on the fact that Stata has both a menu-driven 'point and click' and program syntax interface, the text guides students effectively from the comfortable 'point and click' environment to the beginnings of statistical programming. Its comprehensive coverage of essential topics gives instructors flexibility in curriculum planning and provides students with more advanced material to prepare them for future work. Online resources - including complete solutions to exercises, PowerPoint slides, and Stata syntax (do-files) for each chapter - allow students to review independently and adapt codes to solve new problems, reinforcing their programming skills. 640 pp. Englisch. Codice articolo 9781107461185
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Taschenbuch. Condizione: Neu. Neuware -Engaging and accessible to students from a wide variety of mathematical backgrounds, Statistics Using Stata combines the teaching of statistical concepts with the acquisition of the popular Stata software package. It closely aligns Stata commands with numerous examples based on real data, enabling students to develop a deep understanding of statistics in a way that reflects statistical practice. Capitalizing on the fact that Stata has both a menu-driven 'point and click' and program syntax interface, the text guides students effectively from the comfortable 'point and click' environment to the beginnings of statistical programming. Its comprehensive coverage of essential topics gives instructors flexibility in curriculum planning and provides students with more advanced material to prepare them for future work. Online resources - including complete solutions to exercises, PowerPoint slides, and Stata syntax (do-files) for each chapter - allow students to review independently and adapt codes to solve new problems, reinforcing their programming skills. 640 pp. Englisch. Codice articolo 9781107461185
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Kartoniert / Broschiert. Condizione: New. Engaging and accessible, this text closely aligns commands from the popular Stata software package with numerous examples based on real data, enabling students to develop a deep understanding of statistics in a way that reflects statistical practice. It fea. Codice articolo 269579807
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Taschenbuch. Condizione: Neu. Statistics Using Stata | An Integrative Approach | Sharon Lawner Weinberg (u. a.) | Taschenbuch | Englisch | 2019 | Cambridge University Press | EAN 9781107461185 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 103734663
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