Statistics Using Stata
An Integrative Approach
2nd Edition
$79.99 USD
- Authors:
- Sharon Lawner Weinberg, New York University
- Sarah Knapp Abramowitz, Drew University, New Jersey
- Date Published: March 2020
- availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
- format: Adobe eBook Reader
- isbn: 9781108808682
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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.
Read more- 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
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×Product details
- Edition: 2nd Edition
- Date Published: March 2020
- format: Adobe eBook Reader
- isbn: 9781108808682
- contains: 195 b/w illus.
- 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. Two-way interactions in multiple regression
18. Nonparametric methods
19. Communicating your Stata results via Excel.
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