Statistics Using Stata: An Integrative Approach

by Sharon Lawner Weinberg, Sarah Knapp Abramowitz

Overview

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.

Product Details

ISBN-13:	9781107461185
Publisher:	Cambridge University Press
Publication date:	09/19/2016
Edition description:	New Edition
Pages:	640
Product dimensions:	7.99(w) x 10.04(h) x 1.18(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. 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 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.

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.

Editorial Reviews

‘Statistics Using Stata is an engaging and accessible introduction to the practice of statistics. Readers will benefit from the book’s clear, step-by-step illustrations of statistical techniques and superb sample exercises, which use data and applications often encountered in the real world. Before they know it, users of this text will be confidently using Stata to analyze and interpret their own data.’ Sean P. Corcoran, Vanderbilt University, USA

‘This textbook has been extremely helpful in introducing students to issues in research design, instrument development, and data analysis. Every topic is explained clearly, with examples and code, making the preparation of lectures and recitation easier for me and my teaching assistants, and allowing students to review the material independently.’ Alejandro Ganimian, New York University, USA

‘Statistics Using Stata is a great intro stats text that assumes a minimal math background, provides good coverage of foundational topics, and has a lot of examples (code and data) to work through in Stata. I especially like the new chapter on public-use data sources. Great for teachers!’ Peter F. Halpin, University of North Carolina, USA

From the Publisher