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Abramowitz / Weinberg

Statistics Using Stata

An Integrative Approach

Medium: Buch
ISBN: 978-1-108-72583-5
Verlag: Cambridge University Press
Erscheinungstermin: 27.02.2020
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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.

Produkteigenschaften

  • Artikelnummer: 9781108725835
  • Medium: Buch
  • ISBN: 978-1-108-72583-5
  • Verlag: Cambridge University Press
  • Erscheinungstermin: 27.02.2020
  • Sprache(n): Englisch
  • Auflage: 2. Revised Auflage 2020
  • Produktform: Kartoniert
  • Gewicht: 1574 g
  • Seiten: 740
  • Format (B x H x T): 203 x 254 x 40 mm
  • Ausgabetyp: Kein, Unbekannt

Themen

Autoren/Hrsg.

Autoren

Sarah Knapp Abramowitz is Professor of Mathematics and Computer Science at Drew University, New Jersey, where she is also Department Chair and Coordinator of Statistics Instruction.

Sharon Lawner Weinberg is Professor of Applied Statistics and Psychology and former Vice Provost for Faculty Affairs at New York University.

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 s is known; 11. Inferences involving the mean when s 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.