Using Multivariate Statistics
Linda S. Tabachnick, Barbara G.; Fidell; Linda S. Fidell
Sold by BooksRun, Philadelphia, PA, U.S.A.
AbeBooks Seller since February 2, 2016
Used - Hardcover
Condition: Used - Good
Quantity: 1 available
Add to basketSold by BooksRun, Philadelphia, PA, U.S.A.
AbeBooks Seller since February 2, 2016
Condition: Used - Good
Quantity: 1 available
Add to basketIt's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.
Seller Inventory # 0060465719-11-1
Using Multivariate Statistics provides practical guidelines for conducting numerous types of multivariate statistical analyses. It gives syntax and output for accomplishing many analyses through the most recent releases of SAS, SPSS, and SYSTAT, some not available in software manuals. The book maintains its practical approach, still focusing on the benefits and limitations of applications of a technique to a data set â when, why, and how to do it. Overall, it provides advanced students with a timely and comprehensive introduction to today's most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge of higher-level mathematics.
Using Multivariate Statistics provides practical guidelines for conducting numerous types of multivariate statistical analyses. It gives syntax and output for accomplishing many analyses through the most recent releases of SAS, SPSS, and SYSTAT, some not available in software manuals. The book maintains its practical approach, still focusing on the benefits and limitations of applications of a technique to a data set - when, why, and how to do it. Overall, it provides advanced users with a timely and comprehensive introduction to today's most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge of higher-level mathematics.
For those interested in statistical analysis.
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