Statistical Methods for the Social Sciences, Global Edition

Author:   Alan Agresti
Publisher:   Pearson Education Limited
Edition:   6th edition
ISBN:  

9781292449197


Pages:   608
Publication Date:   15 February 2024
Format:   Paperback
Availability:   In stock   Availability explained
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Statistical Methods for the Social Sciences, Global Edition


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Overview

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 6th 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.

Full Product Details

Author:   Alan Agresti
Publisher:   Pearson Education Limited
Imprint:   Pearson Education Limited
Edition:   6th edition
Dimensions:   Width: 20.50cm , Height: 2.30cm , Length: 25.50cm
Weight:   1.116kg
ISBN:  

9781292449197


ISBN 10:   1292449195
Pages:   608
Publication Date:   15 February 2024
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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"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 three courses in statistical methods for social science students and three courses in categorical data analysis. He is author of over 100 refereed article and four 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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