Description

Book Synopsis

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 Li

Table of Contents

  1. Introduction
  2. Sampling and Measurement
  3. Descriptive Statistics
  4. Probability Distributions
  5. Statistical Inference: Estimation
  6. Statistical Inference: Significance Tests
  7. Comparison of Two Groups
  8. Analyzing Association between Categorical Variables
  9. Linear Regression and Correlation
  10. Introduction to Multivariate Relationships
  11. Multiple Regression and Correlation
  12. Model Building with Multiple Regression
  13. Logistic Regression: Modeling Categorical Responses
  14. An Introduction to Advanced Methodology

Student Solutions Manual for Statistical Methods

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    A Paperback by Alan Agresti

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      View other formats and editions of Student Solutions Manual for Statistical Methods by Alan Agresti

      Publisher: Pearson Education
      Publication Date: 5/24/2017 12:00:00 AM
      ISBN13: 9780134512792, 978-0134512792
      ISBN10: 0134512790

      Description

      Book Synopsis

      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 Li

      Table of Contents

      1. Introduction
      2. Sampling and Measurement
      3. Descriptive Statistics
      4. Probability Distributions
      5. Statistical Inference: Estimation
      6. Statistical Inference: Significance Tests
      7. Comparison of Two Groups
      8. Analyzing Association between Categorical Variables
      9. Linear Regression and Correlation
      10. Introduction to Multivariate Relationships
      11. Multiple Regression and Correlation
      12. Model Building with Multiple Regression
      13. Logistic Regression: Modeling Categorical Responses
      14. An Introduction to Advanced Methodology

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