Statistics Using R - Weinberg, Sharon Lawner (New York University); Harel, Daphna (New York University); Abramowitz, Sarah Knapp (Drew University)
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Using an engaging and accessible writing style, this textbook seamlessly integrates the learning of R with an introduction to applied statistics using real data. It is comprehensive in its content coverage, is suitable for undergraduate and graduate levels, and requires no prior coding experience.

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Produktbeschreibung
Using an engaging and accessible writing style, this textbook seamlessly integrates the learning of R with an introduction to applied statistics using real data. It is comprehensive in its content coverage, is suitable for undergraduate and graduate levels, and requires no prior coding experience.
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Autorenporträt
Sharon L. Weinberg is Professor of Applied Statistics and Psychology at New York University and formerly Vice Provost for Faculty Affairs at New York University, USA. She has taught, over many years in higher education, a broad range of statistics courses at both the undergraduate and graduate level, from introductory to advanced. She is a recipient of the NYU Steinhardt Teaching Excellence Award, the NYU Steinhardt Daniel Griffiths Award for Distinguished Research, and a four-time recipient of the Outstanding Reviewer Award for her work on the Editorial Board of the Educational Researcher, American Educational Research Association's (AERA's) flagship journal, as a reviewer of manuscripts submitted for publication. Her research has been supported by grants from both federal and private agencies, including the IES, NSF, and the Sloan Foundation, and she has published numerous papers on her research. She is the co-editor with NYU colleague, Lisa Stulberg, of Diversity in American Higher Education: Toward a More Comprehensive Approach (Routledge, 2011). She has also published numerous expository papers on methodology as book chapters and journal articles.