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Statistics Using Stata
An Integrative Approach

$72.00 ( ) USD

  • Date Published: July 2017
  • availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
  • format: Adobe eBook Reader
  • isbn: 9781316680162

$ 72.00 USD ( )
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About the Authors
  • Engaging and accessible to students from a wide variety of mathematical backgrounds, Statistics Using Stata combines the teaching of statistical concepts with the acquisition of the popular Stata software package. It closely aligns Stata commands with numerous examples based on real data, enabling students to develop a deep understanding of statistics in a way that reflects statistical practice. Capitalizing on the fact that Stata has both a menu-driven 'point and click' and program syntax interface, the text guides students effectively from the comfortable 'point and click' environment to the beginnings of statistical programming. Its comprehensive coverage of essential topics gives instructors flexibility in curriculum planning and provides students with more advanced material to prepare them for future work. Online resources - including complete solutions to exercises, PowerPoint slides, and Stata syntax (do-files) for each chapter - allow students to review independently and adapt codes to solve new problems, reinforcing their programming skills.

    • Can be used in courses at the undergraduate or graduate level in the social, behavioral, health, and policy sciences
    • Covers topics not included in other introductory texts, such as robust methods of estimation based on the bootstrap resampling technique, regression to the mean, and diagnostic tools for analyzing model fit
    • Uses an extremely clear and lively writing style and worked examples that will interest students
    • Online features include problem sets and appendices for students, and PowerPoint slides and a test bank for instructors
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    Product details

    • Date Published: July 2017
    • format: Adobe eBook Reader
    • isbn: 9781316680162
    • contains: 216 b/w illus. 64 tables 420 exercises
    • availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
  • Table of Contents

    1. Introduction
    2. Examining univariate distributions
    3. Measures of location, spread, and skewness
    4. Re-expressing variables
    5. Exploring relationships between two variables
    6. Simple linear regression
    7. Probability fundamentals
    8. Theoretical probability models
    9. The role of sampling in inferential statistics
    10. Inferences involving the mean of a single population when σ is known
    11. Inferences involving the mean when σ is not known: one- and two-sample designs
    12. Research design: introduction and overview
    13. One-way analysis of variance
    14. Two-way analysis of variance
    15. Correlation and simple regression as inferential techniques
    16. An introduction to multiple regression
    17. Nonparametric methods.

  • Resources for

    Statistics Using Stata

    Sharon Lawner Weinberg, Sarah Knapp Abramowitz

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  • Authors

    Sharon Lawner Weinberg, New York University
    Sharon Lawner Weinberg is Professor of Applied Statistics and Psychology and former Vice Provost for Faculty Affairs at New York University. She has authored numerous articles, books, and reports on statistical methods, statistical education, and evaluation, as well as in applied disciplines, such as psychology, education, and health. She is the recipient of several major grants, including a recent grant from the Sloan Foundation to support her current work with colleagues from New York University to evaluate the New York City Gifted and Talented programs.

    Sarah Knapp Abramowitz, Drew University, New Jersey
    Sarah Knapp Abramowitz is Professor of Mathematics and Computer Science at Drew University, where she is also Department Chair and Coordinator of Statistics Instruction. She is the coauthor, with Sharon Lawner Weinberg, of Statistics Using IBM SPSS: An Integrative Approach, 3rd edition (Cambridge, forthcoming 2016) and an Associate Editor of the Journal of Statistics Education.

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