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JMP Start Statistics: A Guide to Statistics and Data Analysis Using JMP, 4th Edition

JMP Start Statistics: A Guide to Statistics and Data Analysis Using JMP, 4th Edition

JMP Start Statistics: A Guide to Statistics and Data Analysis Using JMP, 4th
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JMP Start Statistics: A Guide to Statistics and Data Analysis Using JMP, 4th Edition Paperback - 2007

by John Sall

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Brand: SAS Publishing, 2007-09-30. 4th. paperback. Used: Good. 7.75x1.00x9.00. Buy with confidence. Excellent Customer Service & Return policy.
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Details

  • Title JMP Start Statistics: A Guide to Statistics and Data Analysis Using JMP, 4th Edition
  • Author John Sall
  • Binding Paperback
  • Edition 4th
  • Condition Used: Good
  • Pages 607
  • Volumes 1
  • Language ENG
  • Publisher Brand: SAS Publishing
  • Publication date 2007-09-30
  • Illustrated Yes
  • Bookseller's Inventory # SONG159994572X
  • ISBN 9781599945729 / 159994572X
  • Weight 2.3 lbs (1.04 kg)
  • Dimensions 9.2 x 7.5 x 1.3 in (23.37 x 19.05 x 3.30 cm)
  • Size 7.75x1.00x9.00
  • Category Mathematics
  • Library of Congress subjects Computer graphics, Mathematical statistics - Data processing
  • Library of Congress Catalogue Number 2008274026
  • Dewey Decimal Code 519.502
  • Quantity available 1

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Reader reviews for JMP Start Statistics: A Guide to Statistics and Data Analysis Using JMP, 4th Edition

From the publisher

JMP Start Statistics: A Guide to Statistics and Data Analysis Using JMP, Fourth Edition, is a complete and orderly introduction to analyzing data using JMP statistical discovery software from SAS. A mix of software manual and statistics text, this book provides hands-on tutorials with just the right amount of conceptual and motivational material to illustrate how to use JMP's intuitive interface for data analysis. Each chapter features concept-specific tutorials, examples, brief reviews of concepts, step-by-step illustrations, and exercises. Written by John Sall, Lee Creighton, and Ann Lehman, this book is a great tool for statistics students or practitioners needing a software-related statistics review.
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