Statistics Using Stata: An Integrative Approach / Edition 2

Statistics Using Stata: An Integrative Approach / Edition 2

ISBN-10:
110872583X
ISBN-13:
9781108725835
Pub. Date:
02/27/2020
Publisher:
Cambridge University Press
ISBN-10:
110872583X
ISBN-13:
9781108725835
Pub. Date:
02/27/2020
Publisher:
Cambridge University Press
Statistics Using Stata: An Integrative Approach / Edition 2

Statistics Using Stata: An Integrative Approach / Edition 2

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Overview

Building upon the success of the first edition, Statistics Using Stata uses the latest version of Stata to meet the needs of today's students. Engaging and accessible for students from a variety of mathematical backgrounds, this textbook integrates statistical concepts with the Stata (version 16) software package. It aligns Stata commands with examples based on real data, enabling students to understand statistics in a way that reflects statistical practice. Capitalizing on Stata's a menu-driven 'point and click' and program syntax interface, the chapters guide students from the comfortable 'point and click' environment to the beginnings of statistical programming. Its coverage of essential topics gives instructors flexibility in curriculum planning and provides students with more advanced material to prepare for future work. Online resources - including solutions to exercises, PowerPoint slides, and Stata syntax (do-files) for each chapter - allow students to review independently and adapt code to analyze new problems.


Product Details

ISBN-13: 9781108725835
Publisher: Cambridge University Press
Publication date: 02/27/2020
Edition description: 2nd ed.
Pages: 740
Product dimensions: 7.99(w) x 10.04(h) x 1.30(d)

About the Author

Sharon Lawner Weinberg is Professor of Applied Statistics and Psychology and former Vice Provost for Faculty Affairs at New York University, USA.

Sarah Knapp Abramowitz is Professor of Mathematics and Computer Science at Drew University, USA, where she is also Department Chair and Coordinator of Statistics Instruction.

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 s is known; 11. Inferences involving the mean when s 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. Two-way interactions in multiple regression; 18. Nonparametric methods; 19. Communicating your Stata results via Excel.

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