Data analysis using SAS Enterprise guide /:
This book presents the basic procedures for using SAS Enterprise Guide to analyse statistical data.
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Weitere Verfasser: | , |
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge ; New York :
Cambridge University Press,
2009.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | This book presents the basic procedures for using SAS Enterprise Guide to analyse statistical data. |
| Beschreibung: | Title from title screen. |
| Beschreibung: | 1 online resource (xix, 378 pages) : illustrations |
| Bibliographie: | Includes bibliographical references and indexes. |
| ISBN: | 0511603681 9780511603686 9780511604461 0511604467 9780511651670 0511651678 9780511804786 0511804784 0511602901 9780511602900 9781282393639 1282393634 |
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| 505 | 0 | |a 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. | |
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| 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. |
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| discipline | Wirtschaftswissenschaften |
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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. 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| genre | Electronic books. dissertations. aat Academic theses fast Academic theses. lcgft http://id.loc.gov/authorities/genreForms/gf2014026039 Thèses et écrits académiques. rvmgf |
| genre_facet | Electronic books. dissertations. Academic theses Academic theses. Thèses et écrits académiques. |
| id | ZDB-4-EBA-ocn502102313 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:16:55Z |
| institution | BVB |
| isbn | 0511603681 9780511603686 9780511604461 0511604467 9780511651670 0511651678 9780511804786 0511804784 0511602901 9780511602900 9781282393639 1282393634 |
| language | English |
| oclc_num | 502102313 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (xix, 378 pages) : illustrations |
| psigel | ZDB-4-EBA |
| publishDate | 2009 |
| publishDateSearch | 2009 |
| publishDateSort | 2009 |
| publisher | Cambridge University Press, |
| record_format | marc |
| spelling | Meyers, Lawrence S. http://id.loc.gov/authorities/names/no2004031399 Data analysis using SAS Enterprise guide / Lawrence S. Meyers, Glenn Gamst, A.J. Guarino. Cambridge ; New York : Cambridge University Press, 2009. 1 online resource (xix, 378 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier polychrome. rdacc http://rdaregistry.info/termList/RDAColourContent/1003 text file rdaft http://rdaregistry.info/termList/fileType/1002 Includes bibliographical references and indexes. Title from title screen. This book presents the basic procedures for using SAS Enterprise Guide to analyse statistical data. 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. SAS (Computer file) http://id.loc.gov/authorities/names/n88028236 Enterprise guide. http://id.loc.gov/authorities/names/n2003075658 Enterprise guide fast SAS (Computer file) fast Social sciences Statistical methods Data processing. Mathematical statistics Data processing. http://id.loc.gov/authorities/subjects/sh85082137 Sciences sociales Méthodes statistiques Informatique. Statistique mathématique Informatique. BUSINESS & ECONOMICS Economics General. bisacsh BUSINESS & ECONOMICS Reference. bisacsh Mathematical statistics Data processing fast Social sciences Statistical methods Data processing fast Electronic books. dissertations. aat Academic theses fast Academic theses. lcgft http://id.loc.gov/authorities/genreForms/gf2014026039 Thèses et écrits académiques. rvmgf Gamst, Glenn. http://id.loc.gov/authorities/names/n2005024621 Guarino, A. J. http://id.loc.gov/authorities/names/n2005024623 has work: Data analysis using SAS Enterprise guide (Text) https://id.oclc.org/worldcat/entity/E39PCGqdbVrphbwRqqwx9Qvd8K https://id.oclc.org/worldcat/ontology/hasWork Print version: Meyers, Lawrence S. Data analysis using SAS Enterprise guide. Cambridge ; New York : Cambridge University Press, 2009 9780521112680 (DLC) 2009012822 (OCoLC)317778114 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=304826 Volltext |
| spellingShingle | Meyers, Lawrence S. Data analysis using SAS Enterprise guide / 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. SAS (Computer file) http://id.loc.gov/authorities/names/n88028236 Enterprise guide. http://id.loc.gov/authorities/names/n2003075658 Enterprise guide fast SAS (Computer file) fast Social sciences Statistical methods Data processing. Mathematical statistics Data processing. http://id.loc.gov/authorities/subjects/sh85082137 Sciences sociales Méthodes statistiques Informatique. Statistique mathématique Informatique. BUSINESS & ECONOMICS Economics General. bisacsh BUSINESS & ECONOMICS Reference. bisacsh Mathematical statistics Data processing fast Social sciences Statistical methods Data processing fast |
| subject_GND | http://id.loc.gov/authorities/names/n88028236 http://id.loc.gov/authorities/names/n2003075658 http://id.loc.gov/authorities/subjects/sh85082137 http://id.loc.gov/authorities/genreForms/gf2014026039 |
| title | Data analysis using SAS Enterprise guide / |
| title_auth | Data analysis using SAS Enterprise guide / |
| title_exact_search | Data analysis using SAS Enterprise guide / |
| title_full | Data analysis using SAS Enterprise guide / Lawrence S. Meyers, Glenn Gamst, A.J. Guarino. |
| title_fullStr | Data analysis using SAS Enterprise guide / Lawrence S. Meyers, Glenn Gamst, A.J. Guarino. |
| title_full_unstemmed | Data analysis using SAS Enterprise guide / Lawrence S. Meyers, Glenn Gamst, A.J. Guarino. |
| title_short | Data analysis using SAS Enterprise guide / |
| title_sort | data analysis using sas enterprise guide |
| topic | SAS (Computer file) http://id.loc.gov/authorities/names/n88028236 Enterprise guide. http://id.loc.gov/authorities/names/n2003075658 Enterprise guide fast SAS (Computer file) fast Social sciences Statistical methods Data processing. Mathematical statistics Data processing. http://id.loc.gov/authorities/subjects/sh85082137 Sciences sociales Méthodes statistiques Informatique. Statistique mathématique Informatique. BUSINESS & ECONOMICS Economics General. bisacsh BUSINESS & ECONOMICS Reference. bisacsh Mathematical statistics Data processing fast Social sciences Statistical methods Data processing fast |
| topic_facet | SAS (Computer file) Enterprise guide. Enterprise guide Social sciences Statistical methods Data processing. Mathematical statistics Data processing. Sciences sociales Méthodes statistiques Informatique. Statistique mathématique Informatique. BUSINESS & ECONOMICS Economics General. BUSINESS & ECONOMICS Reference. Mathematical statistics Data processing Social sciences Statistical methods Data processing Electronic books. dissertations. Academic theses Academic theses. Thèses et écrits académiques. |
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