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

Author:   John Sall ,  Mia L Stephens ,  Ann Lehman
Publisher:   SAS Institute
Edition:   6th ed.
ISBN:  

9781635269017


Pages:   660
Publication Date:   20 July 2018
Format:   Hardback
Availability:   Available To Order   Availability explained
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JMP Start Statistics: A Guide to Statistics and Data Analysis Using JMP, Sixth Edition


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Overview

This book provides hands-on tutorials with just the right amount of conceptual and motivational material to illustrate how to use the intuitive interface for data analysis in JMP. Each chapter features concept-specific tutorials, examples, brief reviews of concepts, step-by-step illustrations, and exercises. Updated for JMP 13, JMP Start Statistics, Sixth Edition includes many new features, including: The redesigned Formula Editor. New and improved ways to create formulas in JMP directly from the data table or dialogs. Interface updates, including improved menu layout. Updates and enhancements in many analysis platforms. New ways to get data into JMP and to save and share JMP results. Many new features that make it easier to use JMP.

Full Product Details

Author:   John Sall ,  Mia L Stephens ,  Ann Lehman
Publisher:   SAS Institute
Imprint:   SAS Institute
Edition:   6th ed.
Dimensions:   Width: 19.10cm , Height: 3.50cm , Length: 23.50cm
Weight:   1.338kg
ISBN:  

9781635269017


ISBN 10:   1635269016
Pages:   660
Publication Date:   20 July 2018
Audience:   General/trade ,  General
Format:   Hardback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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John Sall is a co-founder of SAS Institute Inc., where he currently serves as the Executive Vice President and the head of the JMP Business Division. He received a bachelor's degree from Beloit College and a master's degree from Northern Illinois University. He was awarded an honorary doctorate from North Carolina State University in 2003. John has held several positions in the Statistical Computing Section of the American Statistical Association (ASA) and was named an ASA Fellow in 1998.

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