Statistics Using Stata
An Integrative Approach

This textbook integrates the teaching and learning of statistical concepts with the acquisition of the Stata (version 16) software package.

Sharon Lawner Weinberg (Author), Sarah Knapp Abramowitz (Author)

9781108725835, Cambridge University Press

Paperback / softback, published 27 February 2020

740 pages, 195 b/w illus.
25.5 x 20.3 x 3.3 cm, 1.77 kg

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.

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 ? is known
11. Inferences involving the mean when ? 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.

Subject Areas: Mathematical & statistical software [UFM], Psychology [JM], Social research & statistics [JHBC], Research methods: general [GPS]