
JMP Start Statistics
A Guide to Statistics and Data Analysis Using JMP, Sixth Edition
SAS Institute (Publisher)
6th Edition
Published on 21. February 2017
Book
Paperback/Softback
660 pages
978-1-62960-875-4 (ISBN)
Description
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.
More details
Edition
6th ed.
Language
English
Place of publication
United States
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 235 mm
Width: 191 mm
Thickness: 36 mm
Weight
1212 gr
ISBN-13
978-1-62960-875-4 (9781629608754)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

John Sall | Mia L. Stephens | Ann Lehman
JMP Start Statistics
A Guide to Statistics and Data Analysis Using JMP, Sixth Edition
E-Book
02/2017
3rd Edition
SAS Institute
€73.49
Available for download

John Sall | Mia L. Stephens | Lehman
Jmp Start Statistics
A Guide to Statistics and Data Analysis Using Jmp, Sixth Edition
E-Book
02/2017
6th Edition
SAS Institute
€68.49
Available for download
Persons
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.