BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Using Multivariate Statistics (5th Edition)

Using Multivariate Statistics (5th Edition)

Using Multivariate Statistics (5th Edition) Paperback - 2006 - 5th Edition

by Tabachnick, Barbara G.; Fidell, Linda S

Add to wish list
  • Used
  • Good
  • Paperback
Used - Good

Description

Pearson, 2006. Paperback. Good. Missing dust jacket; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.Dust jacket quality is not guaranteed.
Ask the seller a question Add to wish list
A$12.15
Free Delivery within USA
Standard delivery: 4 to 8 days
More delivery options
Ships from ThriftBooks (Washington, United States)

Details

  • Title Using Multivariate Statistics (5th Edition)
  • Author Tabachnick, Barbara G.; Fidell, Linda S
  • Binding Paperback
  • Edition number 5th
  • Edition 5
  • Condition Used - Good
  • Pages 980
  • Volumes 1
  • Language ENG
  • Publisher Pearson, Boston, MA, U.S.A.
  • Publication date 2006
  • Illustrated Yes
  • Bookseller's Inventory # G0205459382I3N01
  • ISBN 9780205459384 / 0205459382
  • Weight 3.65 lbs (1.66 kg)
  • Dimensions 9.54 x 7.28 x 1.41 in (24.23 x 18.49 x 3.58 cm)
  • Library of Congress subjects Multivariate analysis
  • Library of Congress Catalogue Number 2005056464
  • Dewey Decimal Code 519.535
  • Quantity available 1

About ThriftBooks Washington, United States

Biblio member since 2018

From the largest selection of used titles, we put quality, affordable books into the hands of readers

Terms of Sale: 30 day return guarantee, with full refund including original shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from ThriftBooks

Reader reviews for Using Multivariate Statistics (5th Edition)

From the publisher

Using Multivariate Statistics provides practical guidelines forconducting numerous types of multivariate statistical analyses. It givessyntax and output for accomplishing many analyses through the mostrecent releases of SAS, SPSS, and SYSTAT, some not available insoftware manuals. The book maintains its practical approach, stillfocusing on the benefits and limitations of applications of a techniqueto a data set -- when, why, and how to do it. Overall, it providesadvanced students with a timely and comprehensive introduction totoday's most commonly encountered statistical and multivariatetechniques, while assuming only a limited knowledge of higher-levelmathematics.
tracking-