Statistics Using Stata
Statistics Using Stata
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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 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.
- Can be used in courses at the undergraduate or graduate level in the social, behavioral, health, and policy sciences
- Based upon the most recent version of Stata: version 16
- 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
- By closely integrating the learning of Stata with the learning of statistics, the textbook merges these two ostensibly disparate goals into one, demonstrating the direct connection between the two
- Uses an extremely clear and lively writing style and working examples
- Online features include problem sets and appendices for students, and PowerPoint slides for instructors to use in the classroom and students to use as a study guide
Product details
No date availablePaperback
9781108725835
740 pages
255 × 203 × 33 mm
1.77kg
195 b/w illus.
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. Two-way interactions in multiple regression
- 18. Nonparametric methods
- 19. Communicating your Stata results via Excel.
