Discovering Statistics Using SAS
eBook - ePub

Discovering Statistics Using SAS

  1. 752 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Discovering Statistics Using SAS

Book details
Table of contents
Citations

About This Book

Hot on the heels of the 3rd edition of Andy Field?s award-winning Discovering Statistics Using SPSS comes this brand new version for students using SASĀ®. Andy has teamed up with a co-author, Jeremy Miles, to adapt the book with all the most up-to-date commands and programming language from SASĀ® 9.2. If you?re using SASĀ®, this is the only book on statistics that you will need!

The book provides a comprehensive collection of statistical methods, tests and procedures, covering everything you?re likely to need to know for your course, all presented in Andy?s accessible and humourous writing style. Suitable for those new to statistics as well as students on intermediate and more advanced courses, the book walks students through from basic to advanced level concepts, all the while reinforcing knowledge through the use of SASĀ®.

A ?cast of characters? supports the learning process throughout the book, from providing tips on how to enter data in SASĀ® properly to testing knowledge covered in chapters interactively, and ?real world? and invented examples illustrate the concepts and make the techniques come alive.

The book?s companion website (see link above) provides students with a wide range of invented and real published research datasets. Lecturers can find multiple choice questions and PowerPoint slides for each chapter to support their teaching.

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Yes, you can access Discovering Statistics Using SAS by Andy Field,Jeremy Miles in PDF and/or ePUB format. We have over one million books available in our catalogue for you to explore.

Information

Publisher
SAGE Publications Ltd
Year
2010
ISBN
9781446242230
Edition
1

Table of contents

  1. Cover Page
  2. Title Page
  3. Copyright
  4. Contents
  5. Preface
  6. How to use this book
  7. Acknowledgements
  8. Dedication
  9. Symbols used in this book
  10. Some maths revision
  11. 1 Why is my evil lecturer forcing me to learn statistics?
  12. 2 Everything you ever wanted to know about statistics (well, sort of)
  13. 3 The SAS environment
  14. 4 Exploring data with graphs
  15. 5 Exploring assumptions
  16. 6 Correlation
  17. 7 Regression
  18. 8 Logistic regression
  19. 9 Comparing two means
  20. 10 Comparing several means: ANOVA (GLM 1)
  21. 11 Analysis of covariance, ancova (GLM 2)
  22. 12 Factorial anova (GLM 3)
  23. 13 Repeated-measures designs (GLM 4)
  24. 14 Mixed design anova (GLM 5)
  25. 15 Non-parametric tests
  26. 16 Multivariate analysis of variance (manova)
  27. 17 Exploratory factor analysis
  28. 18 Categorical data
  29. 19 Multilevel linear models
  30. Epilogue: Life after Discovering Statistics
  31. Glossary
  32. Appendix
  33. References
  34. Index