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Statistical Methods for the Social Sciences (5th Edition) – eBook

For courses in Statistical Methods for the Social Sciences

eBook details

  • Author: Alan Agresti
  • File Size: 5 MB
  • Format: PDF
  • Length: 608 pages
  • Publisher: Pearson; 5th Edition
  • Publication Date: January 30, 2017
  • Language: English
  • ASIN: B01N4WLVIT
  • ISBN-10: 013450710X
  • ISBN-13: 9780134507101

Original price was: $64.99.Current price is: $17.00.

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Author(s)

Alan Agresti

Alan Agresti

Dr. Alan Agresti is Distinguished Professor in the Department of Statistics at the University of Florida. He has been teaching statistics there for over three decades, including the development of three courses in categorical data analysis and three courses in statistical methods for social science students. He is author of over 100 refereed article and four textbooks including "Statistics: The Art and Science of Learning From Data" and "Categorical Data Analysis."

Alan is a Fellow of the American Statistical Association and recipient of an Honorary Doctor of Science from De Montfort University in the UK. He was named "Statistician of the Year" by the Chicago chapter of the American Statistical Association and in Dr. Agresti was the first honoree of the Herman Callaert Leadership Award in Biostatistical Education and Dissemination awarded by the University of Limburgs, Belgium. He has held visiting positions at Boston University, London School of Economics, Harvard University, and Imperial College and has taught courses or short courses for companies and universities in about 20 countries worldwide. He has also received teaching awards from UF and an excellence in writing award from John Wiley and Sons.

Statistical methods applied to social sciences, made available to all through an emphasis on concepts

Statistical Methods for the Social Sciences, 5th edition (PDF) introduces statistical methods to students majoring in social science disciplines. With a focus on concepts and applications, this ebook assumes you have no prior knowledge of statistics and only a minimal mathematical background. It includes sufficient material for a two-semester course. The 5th Edition gives you examples and exercises with a variety of “real data.” It includes more illustrations of statistical software for computations and takes benefit of the outstanding applets to explain key concepts, like sampling distributions and conducting basic data analyses. It continues to devalue mathematics–often a stumbling block for students–while avoiding dependence on an overly simplistic recipe-based approach to statistics.

NOTE: The product includes the ebook, Statistical Methods for the Social Sciences, 5th edition in PDF. No access codes are included.

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