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Data analysis using SAS Enterprise guide

Author: Lawrence S Meyers; Glenn Gamst; A J Guarino
Publisher: Cambridge ; New York : Cambridge University Press, 2009.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
This book presents the basic procedures for using SAS Enterprise Guide to analyse statistical data.
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Meyers, Lawrence S.
Data analysis using SAS Enterprise guide.
Cambridge ; New York : Cambridge University Press, 2009
(DLC) 2009012822
(OCoLC)317778114
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Lawrence S Meyers; Glenn Gamst; A J Guarino
ISBN: 0511603681 9780511603686 9780511604461 0511604467 9780511651670 0511651678 9780511804786 0511804784
OCLC Number: 502102313
Notes: Title from title screen.
Description: 1 online resource (xix, 378 pages) : illustrations
Contents: Part I. Introducing SAS Enterprise Guide: 1. SAS Enterprise Guide projects; 2. Placing data into SAS Enterprise Guide projects; Part II. Performing and Viewing Output: 3. Performing statistical analyses in SAS Enterprise Guide; 4. Managing and viewing output; Part III. Manipulating Data: 5. Sorting data and selecting cases; 6. Recoding existing variables; 7. Computing new variables; Part IV. Describing Data: 8. Descriptive statistics; 9. Graphing data; 10. Standardizing variables based on the sample data; 11. Standardizing variables based on existing norms; Part V. Score Distribution Issues: 12. Detecting outliers; 13. Assessing normality; 14. Nonlinearly transforming variables in order to meet underlying assumptions; Part VI. Correlation and Prediction: 15. Bivariate correlation: Pearson product moment and Spearman rho correlations; 16. Simple linear regression; 17. Multiple linear regression; 18. Simple logistic regression; 19. Multiple logistic regression; Part VII. Comparing Means t Tests: 20. Independent groups t test; 21. Correlated samples t test; 22. Single sample t test; Part VIII. Comparing means ANOVA: 23. One-way between subjects analysis of variance; 24. Two-way between subjects design; 25. One-way within subjects analysis of variance; 26. Two-way mixed ANOVA design; Part IX. Nonparametric Procedures: 27. One-way chi square; 28. Two-way chi square; 29. Nonparametric between subjects one-way ANOVA; Part X. Advanced ANOVA Techniques: 30. One-way between subjects analysis of covariance; 31. One-way between subjects multivariate analysis of variance; Part XI. Analysis of Structure: 32. Factor analysis; 33. Canonical correlation analysis.
Responsibility: Lawrence S. Meyers, Glenn Gamst, A.J. Guarino.

Abstract:

This book presents the basic procedures for using SAS Enterprise Guide to analyse statistical data.  Read more...

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