Statistical Methods for the Social Sciences / Edition 4

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Overview

Assuming no prior knowledge of statistics, these authors combine their varied backgrounds—one a statistician, the other a social scientist—to introduce statistical methods with a high degree of statistical accuracy and a wealth of examples that are interesting and relevant to social scientists. KEY TOPICS: The Third Edition has been both updated and improved to integrate real-world data into examples and exercises, and make coverage more accessible throughout.
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Editorial Reviews

From the Publisher

"This text is readable, understandable, and well-organized. It provides good examples with SPSS output." (Robert Wilson, University of Delaware).

"Overall, [Agresti/ Finlay] is a good book for introductory statistics that targets general audiences...it covers most topics you want to cover and allows the instructor to choose which topics to include." (Youqin Huang, State University of New York, Albany)

"I originally started using the Agresti/ Finlay book based on its reputation as "the class of the market", in terms of being unfailingly statistically correct and having a "modern" perspective. By "modern", I mean that it is model rather than test oriented, that it gives heavy emphasis to confidence intervals and p-values rather than using arbitrary levels of significance, and that it eschews computational formulae. It has met those expectations..." (Michael Lacey, Colorado State University)

"..the book has been a good and helpful resource for me in preparing the class notes and assigning homework qustions. The main concepts to be understood by students are sampling distribution, confidence interval, p-value, linear regression. The book helps in this..." (Arne Bathke, University of Kentucky)

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Product Details

  • ISBN-13: 9780130272959
  • Publisher: Pearson
  • Publication date: 1/11/2008
  • Edition description: New Edition
  • Edition number: 4
  • Pages: 624
  • Sales rank: 134,222
  • Product dimensions: 8.00 (w) x 9.90 (h) x 1.10 (d)

Meet the 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 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, Prentice Hall, 2nd edition 2009) and "Categorical Data Analysis" (Wiley, 2nd edition 2002). 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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Table of Contents

1 Introduction 1
2 Sampling and Measurement 12
3 Descriptive Statistics 35
4 Probability Distributions 80
5 Statistical Inference: Estimation 121
6 Statistical Inference: Significance Tests 154
7 Comparison of Two Groups 210
8 Analyzing Association Between Categorical Variables 248
9 Linear Regression and Correlation 301
10 Introduction to Multivariate Relationships 356
11 Multiple Regression and Correlation 382
12 Comparing Groups: Analysis of Variance Methods 438
13 Combining Regression and ANOVA: Analysis of Covariance 490
14 Model Building with Multiple Regression 527
15 Logistic Regression: Modeling Categorical Responses 575
16 Introduction to Advanced Topics 620
App SAS and SPSS for Statistical Analyses 644
Tables 667
Answers to Selected Problems 674
Index 700
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