Name: Statistics Using Stata By Sharon Lawner Weinberg (New York University)
SKU: 9781107461185
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Statistics Using Stata Summary

Statistics Using Stata: An Integrative Approach by Sharon Lawner Weinberg (New York University)

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.

About Sharon Lawner Weinberg (New York University)

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.

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. Nonparametric methods.

Additional information

Sku

GOR013153049

ISBN 13

9781107461185

ISBN 10

1107461189

Title

Statistics Using Stata: An Integrative Approach by Sharon Lawner Weinberg (New York University)

Author

Sharon Lawner Weinberg (New York University)

Condition

Used - Very Good

Binding type

Paperback

Publisher

Cambridge University Press

Year published

2016-09-19

Number of pages

640

Prizes

N/A

Cover note

Book picture is for illustrative purposes only, actual binding, cover or edition may vary.

Note

This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in very good condition, but if you are not entirely satisfied please get in touch with us

Statistics Using Stata Sharon Lawner Weinberg (New York University)

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Statistics Using Stata by Sharon Lawner Weinberg (New York University)

Summary

Statistics Using Stata Summary

Statistics Using Stata: An Integrative Approach by Sharon Lawner Weinberg (New York University)

About Sharon Lawner Weinberg (New York University)

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Additional information

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