Free Delivery Over $100
|
|
|||
|
||||
OverviewFor 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 DetailsAuthor: Alan AgrestiPublisher: Pearson Education Limited Imprint: Pearson Education Limited Edition: 6th edition Dimensions: Width: 20.50cm , Height: 2.30cm , Length: 25.50cm Weight: 1.116kg ISBN: 9781292449197ISBN 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  We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsIntroduction Sampling and Measurement Descriptive Statistics Probability Distributions Statistical Inference: Estimation Statistical Inference: Significance Tests Comparison of Two Groups Analyzing Association between Categorical Variables Linear Regression and Correlation Introduction to Multivariate Relationships Multiple Regression and Correlation Model Building with Multiple Regression Logistic Regression: Modeling Categorical Responses An Introduction to Advanced MethodologyReviewsAuthor InformationAlan 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. Tab Content 6Author Website:Countries AvailableAll regions |
||||
