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International Edition

Intl. Ed.

Statistical Methods for the Social Sciences (5th Global Edition)

Intl. Ed.

Statistical Methods for the Social Sciences (5th Global Edition) Soft cover - 2017 - 5th Edition

by Agresti, Alan

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This seller has earned a 3.34 of 5 Stars rating from internet customers.
3.34 / 5 (220 total reviews)
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International Edition

Description

Brand New International Soft Cover Edition written in English but without any Access Code or Card. Different ISBN and Cover Image with US Edition. High Quality Printed on Glossy Paper. Contents and Chapters most similar with US Edition. Occasionally, international textbooks will different exercises at the end of chapters. We do not ship to POBOX, APO,FPO address, 3-5 working days delivery with Tracking number by Fedex or DHL. Some book may show some sales disclaimer word such as "Not for Sale or Restrict in USA or Canada" but it is absolutely legal to use in USA or Canada.We do not sell low-cost Indian version book.3-5 Working days by DHL or Fedex With Tracking number.

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Details

  • Title Statistical Methods for the Social Sciences (5th Global Edition)
  • Author Agresti, Alan
  • Binding Paperback
  • Edition number 5th
  • Edition 5
  • Condition New
  • Pages 608
  • Volumes 1
  • Language ENG
  • Publisher Pearson Education
  • Publication date 2017-01-01
  • Features Index
  • Bookseller's Inventory # biblio787
  • ISBN 9780134507101 / 013450710X
  • Weight 2.55 lbs (1.16 kg)
  • Dimensions 10.1 x 8 x 1 in (25.65 x 20.32 x 2.54 cm)
  • Category Mathematics
  • Library of Congress subjects Statistics, Social sciences - Statistical methods
  • Library of Congress Catalogue Number 2016016613
  • Dewey Decimal Code 519.5
  • Quantity available 3

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Reader reviews for Statistical Methods for the Social Sciences (5th Global Edition)

Review summary

This seller has earned a 3.34 of 5 Stars rating from internet customers.
3.34 / 5 (220 total reviews)

Readers largely praised this statistics textbook as clear, detailed, and useful, citing plentiful examples, diagrams, and comprehensive coverage. Many considered it a strong primer for coursework and beginning researchers. Critiques centered on occasionally dense or awkward prose and some unclear examples; a few found it hard to finish, but overall it was seen as a reliable, thorough resource.

Readers say this book is:
clearthoroughusefulluciddetaileddensechallenging prosehelpful diagramsgood primeruneven examples

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From the publisher

For courses in Statistical Methods for the Social Sciences .

Statistical methods applied to social sciences, made accessible to all through an emphasis on concepts Statistical Methods for the Social Sciences introduces statistical methods to students majoring in social science disciplines. With an emphasis on concepts and applications, this book assumes you have no previous knowledge of statistics and only a minimal mathematical background. It contains 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 advantage of the outstanding applets to explain key concepts, such as sampling distributions and conducting basic data analyses. It continues to downplay mathematics-often a stumbling block for students-while avoiding reliance on an overly simplistic recipe-based approach to statistics.

About the author

About our author

Alan Agresti is Distinguished Professor in the Department of Statistics at the University of Florida. He has been teaching statistics there for 30 years, including the development of 3 courses in statistical methods for social science students and 3 courses in categorical data analysis. He is author of over 100 refereed article and 4 texts including Statistics: The Art and Science of Learning From Data (with Christine Franklin, Pearson, 4th edition 2017) and Categorical Data Analysis (Wiley, 3rd edition 2012). He is a Fellow of the American Statistical Association and recipient of an Honorary Doctor of Science from De Montfort University in the UK. In 2003 he was named Statistician of the Year by the Chicago chapter of the American Statistical Association and in 2004 he 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 Harvard University, Boston University, London School of Economics, and Imperial College and has taught courses or short courses for universities and companies in about 20 countries worldwide. He has also received teaching awards from UF and an excellence in writing award from John Wiley & Sons.

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