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Release 9
Basic Analysis
and Graphing
“The real voyage of discovery consists not in seeking new
landscapes, but in having new eyes.”
Marcel Proust
JMP, A Business Unit of SAS
SAS Campus Drive
Cary, NC 27513
The correct bibliographic citation for this manual is as follows: SAS Institute Inc. 2009. JMP® 9 Basic
Analysis and Graphing. Cary, NC: SAS Institute Inc.
All rights reserved. Produced in the United States of America.
For a hard-copy book: No part of this publication may be reproduced, stored in a retrieval system, or
transmitted, in any form or by any means, electronic, mechanical, photocopying, or otherwise, without
the prior written permission of the publisher, SAS Institute Inc.
For a Web download or e-book: Your use of this publication shall be governed by the terms established
by the vendor at the time you acquire this publication.
U.S. Government Restricted Rights Notice: Use, duplication, or disclosure of this software and related
documentation by the U.S. government is subject to the Agreement with SAS Institute and the
restrictions set forth in FAR 52.227-19, Commercial Computer Software-Restricted Rights (June 1987).
SAS Institute Inc., SAS Campus Drive, Cary, North Carolina 27513.
1st printing, September 2010
JMP®, SAS® and all other SAS Institute Inc. product or service names are registered trademarks or
trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration.
Other brand and product names are registered trademarks or trademarks of their respective companies.
JMP was developed by SAS Institute Inc., Cary, NC. JMP is not a part of the SAS System, though portions
of JMP were adapted from routines in the SAS System, particularly for linear algebra and probability
calculations. Version 1 of JMP went into production in October 1989.
Credits
JMP was conceived and started by John Sall. Design and development were done by John Sall, Chung-Wei
Ng, Michael Hecht, Richard Potter, Brian Corcoran, Annie Dudley Zangi, Bradley Jones, Craige Hales,
Chris Gotwalt, Paul Nelson, Xan Gregg, Jianfeng Ding, Eric Hill, John Schroedl, Laura Lancaster, Scott
McQuiggan, Melinda Thielbar, Clay Barker, Peng Liu, Dave Barbour, Jeff Polzin, John Ponte, and Steve
Amerige.
In the SAS Institute Technical Support division, Duane Hayes, Wendy Murphrey, Rosemary Lucas, Win
LeDinh, Bobby Riggs, Glen Grimme, Sue Walsh, Mike Stockstill, Kathleen Kiernan, and Liz Edwards
provide technical support.
Nicole Jones, Kyoko Keener, Hui Di, Joseph Morgan, Wenjun Bao, Fang Chen, Susan Shao, Yusuke Ono,
Michael Crotty, Jong-Seok Lee, Tonya Mauldin, Audrey Ventura, Ani Eloyan, Bo Meng, and Sequola
McNeill provide ongoing quality assurance. Additional testing and technical support are provided by Noriki
Inoue, Kyoko Takenaka, and Masakazu Okada from SAS Japan.
Bob Hickey and Jim Borek are the release engineers.
The JMP books were written by Ann Lehman, Lee Creighton, John Sall, Bradley Jones, Erin Vang, Melanie
Drake, Meredith Blackwelder, Diane Perhac, Jonathan Gatlin, Susan Conaghan, and Sheila Loring, with
contributions from Annie Dudley Zangi and Brian Corcoran. Creative services and production was done by
SAS Publications. Melanie Drake implemented the Help system.
Jon Weisz and Jeff Perkinson provided project management. Also thanks to Lou Valente, Ian Cox, Mark
Bailey, and Malcolm Moore for technical advice.
Thanks also to Georges Guirguis, Warren Sarle, Gordon Johnston, Duane Hayes, Russell Wolfinger,
Randall Tobias, Robert N. Rodriguez, Ying So, Warren Kuhfeld, George MacKensie, Bob Lucas, Warren
Kuhfeld, Mike Leonard, and Padraic Neville for statistical R&D support. Thanks are also due to Doug
Melzer, Bryan Wolfe, Vincent DelGobbo, Biff Beers, Russell Gonsalves, Mitchel Soltys, Dave Mackie, and
Stephanie Smith, who helped us get started with SAS Foundation Services from JMP.
Acknowledgments
We owe special gratitude to the people that encouraged us to start JMP, to the alpha and beta testers of
JMP, and to the reviewers of the documentation. In particular we thank Michael Benson, Howard
xiv
Yetter (d), Andy Mauromoustakos, Al Best, Stan Young, Robert Muenchen, Lenore Herzenberg, Ramon
Leon, Tom Lange, Homer Hegedus, Skip Weed, Michael Emptage, Pat Spagan, Paul Wenz, Mike Bowen,
Lori Gates, Georgia Morgan, David Tanaka, Zoe Jewell, Sky Alibhai, David Coleman, Linda Blazek,
Michael Friendly, Joe Hockman, Frank Shen, J.H. Goodman, David Iklé, Barry Hembree, Dan Obermiller,
Jeff Sweeney, Lynn Vanatta, and Kris Ghosh.
Also, we thank Dick DeVeaux, Gray McQuarrie, Robert Stine, George Fraction, Avigdor Cahaner, José
Ramirez, Gudmunder Axelsson, Al Fulmer, Cary Tuckfield, Ron Thisted, Nancy McDermott, Veronica
Czitrom, Tom Johnson, Cy Wegman, Paul Dwyer, DaRon Huffaker, Kevin Norwood, Mike Thompson,
Jack Reese, Francois Mainville, and John Wass.
We also thank the following individuals for expert advice in their statistical specialties: R. Hocking and P.
Spector for advice on effective hypotheses; Robert Mee for screening design generators; Roselinde Kessels
for advice on choice experiments; Greg Piepel, Peter Goos, J. Stuart Hunter, Dennis Lin, Doug
Montgomery, and Chris Nachtsheim for advice on design of experiments; Jason Hsu for advice on multiple
comparisons methods (not all of which we were able to incorporate in JMP); Ralph O’Brien for advice on
homogeneity of variance tests; Ralph O’Brien and S. Paul Wright for advice on statistical power; Keith
Muller for advice in multivariate methods, Harry Martz, Wayne Nelson, Ramon Leon, Dave Trindade, Paul
Tobias, and William Q. Meeker for advice on reliability plots; Lijian Yang and J.S. Marron for bivariate
smoothing design; George Milliken and Yurii Bulavski for development of mixed models; Will Potts and
Cathy Maahs-Fladung for data mining; Clay Thompson for advice on contour plotting algorithms; and
Tom Little, Damon Stoddard, Blanton Godfrey, Tim Clapp, and Joe Ficalora for advice in the area of Six
Sigma; and Josef Schmee and Alan Bowman for advice on simulation and tolerance design.
For sample data, thanks to Patrice Strahle for Pareto examples, the Texas air control board for the pollution
data, and David Coleman for the pollen (eureka) data.
Translations
Trish O'Grady coordinates localization. Special thanks to Noriki Inoue, Kyoko Takenaka, Masakazu Okada,
Naohiro Masukawa and Yusuke Ono (SAS Japan); and Professor Toshiro Haga (retired, Tokyo University of
Science) and Professor Hirohiko Asano (Tokyo Metropolitan University) for reviewing our Japanese
translation; Professors Fengshan Bai, Xuan Lu, and Jianguo Li at Tsinghua University in Beijing, and their
assistants Rui Guo, Shan Jiang, Zhicheng Wan, and Qiang Zhao; and William Zhou (SAS China) and
Zhongguo Zheng, professor at Peking University, for reviewing the Simplified Chinese translation; Jacques
Goupy (consultant, ReConFor) and Olivier Nuñez (professor, Universidad Carlos III de Madrid) for
reviewing the French translation; Dr. Byung Chun Kim (professor, Korea Advanced Institute of Science and
Technology) and Duk-Hyun Ko (SAS Korea) for reviewing the Korean translation; Bertram Schäfer and
David Meintrup (consultants, StatCon) for reviewing the German translation; Patrizia Omodei, Maria
Scaccabarozzi, and Letizia Bazzani (SAS Italy) for reviewing the Italian translation. Finally, thanks to all the
members of our outstanding translation teams.
Past Support
Many people were important in the evolution of JMP. Special thanks to David DeLong, Mary Cole, Kristin
Nauta, Aaron Walker, Ike Walker, Eric Gjertsen, Dave Tilley, Ruth Lee, Annette Sanders, Tim Christensen,
Eric Wasserman, Charles Soper, Wenjie Bao, and Junji Kishimoto. Thanks to SAS Institute quality
assurance by Jeanne Martin, Fouad Younan, and Frank Lassiter. Additional testing for Versions 3 and 4 was
done by Li Yang, Brenda Sun, Katrina Hauser, and Andrea Ritter.
Also thanks to Jenny Kendall, John Hansen, Eddie Routten, David Schlotzhauer, and James Mulherin.
Thanks to Steve Shack, Greg Weier, and Maura Stokes for testing JMP Version 1.
Thanks for support from Charles Shipp, Harold Gugel (d), Jim Winters, Matthew Lay, Tim Rey, Rubin
Gabriel, Brian Ruff, William Lisowski, David Morganstein, Tom Esposito, Susan West, Chris Fehily, Dan
Chilko, Jim Shook, Ken Bodner, Rick Blahunka, Dana C. Aultman, and William Fehlner.
Technology License Notices
xv
Scintilla is Copyright 1998-2003 by Neil Hodgson <neilh@scintilla.org>.
Before you begin using JMP, note the following information:
•You can use many JMP features, such as data manipulation, graphs, and scripting features, without any
statistical knowledge.
•A basic understanding of central statistical concepts, such as mean and variation, is recommended.
•Analytical features require statistical knowledge appropriate for the feature.
JMP Terminology
•You can enter, view, edit, and manipulate data using data tables. In a data table, each variable is a column,
and each observation is a row.
•You can access a platform from the
that you can use to analyze data and work with graphs.
•Platforms use these windows:
– Launch windows where you set up and run your analysis.
– Report windows showing the output of your analysis.
•Report windows normally contain the following items:
– A graph of some type (such as a scatterplot or a chart).
–Specific reports that you can show or hide using the disclosure button .
–Platform options that are located within red triangle menus .
Analyze and Graph menus. Platforms contain interactive windows
For more about platforms, see “Use JMP Platforms,” p. 8.
Learning about JMP
JMP provides numerous resources to help you learn about the software. Most of them can be found within
the
Help menu. You can also access context-sensitive Help from within JMP.
Note: For further information about all of the options in the Help menu, see Using JMP.
About JMP Documentation
You can view the JMP documentation suite by selecting Help > Books.
Table 1.1 describes documents in the JMP documentation suite and the purpose of each document.
4PreliminariesChapter 1
Learning about JMP
Ta bl e 1 .1 About JMP Documentation
DocumentWho Should Read This
Document
Discovering JMPIf you are not familiar with
JMP, start here.
Using JMPIf you want to understand
JMP data tables and how
to perform basic
operations in JMP, start
here.
Basic Analysis and
Graphing
If you want to perform
basic analysis and graphing
functions.
What this Document Covers
Introduces you to JMP and gets you
started using JMP
•General JMP concepts and features
that span across all of JMP
•Material in these JMP Starter
categories: File, Tables, and SAS
•These Analyze platforms:
– Distribution
–Fit Y by X
–Matched Pairs
•Many basic graphing platforms
•Material in these JMP Starter
categories: Basic and Graph
Chapter 1Preliminaries5
Learning about JMP
Ta bl e 1 .1 About JMP Documentation (Continued)
DocumentWho Should Read This
Document
Modeling and
Multivariate Methods
If you want to perform
modeling or multivariate
methods
What this Document Covers
•These Analyze platforms:
–Fit Model
– Screening
–Nonlinear
–Neural
– Gaussian Process
– Partition
– Time Series
– Categorical
– Choice
– Multivariate
– Cluster
– Principal Components
– Discriminant
– PLS (Partial Least Squares)
–Item Analysis
•These Graph platforms:
–Profilers
–Surface Plot
•Material in these JMP Starter
categories: Model, Multivariate, and
Surface
6PreliminariesChapter 1
Learning about JMP
Ta bl e 1 .1 About JMP Documentation (Continued)
DocumentWho Should Read This
Document
Quality and Reliability
Methods
If you want to perform
quality control or
reliability engineering
Design of ExperimentsIf you want to design
experiments
What this Document Covers
•Life Distribution
•Fit Life by X
•Recurrence Analysis
•Degradation
•Survival
•Fit Parametric Survival
•Fit Proportional Hazards
•These Graph platforms:
– Variability/Gauge Chart
– Control Charts
– Capability
– Pareto Plot
– Diagram (Ishikawa)
•Material in these JMP Starter window
categories: Reliability, Measure, and
Control
•Everything related to the
DOE menu
•Material in this JMP Starter window
category: DOE
Scripting GuideIf you want to use the JMP
In addition, the New Features document is available at http://jmp.com/support/downloads/
documentation.shtml.
Note: The Books menu also contains two reference cards: The JMP Menu Card describes JMP menus, and
the JMP Quick Reference Card describes JMP keyboard shortcuts. You can print these for ease of use.
Use JMP Help
You can access JMP Help in two ways:
•Access the context-sensitive Help by selecting the Help tool from the
tool anywhere in a data table or report window to see the Help for that area.
•Within a window, click on the
A reference guide for using JSL commands
Scripting Language (JSL)
Tools menu. Place the Help
Help button.
Chapter 1Preliminaries7
Learning about JMP
Search and view JMP Help using the Help > Contents, Search, and Index options.
Use Tutorials
You can access JMP tutorials by selecting Help > Tutorials. The first item on the Tutorials menu is the
Tutorials Directory. This opens a new window with all the tutorials grouped by category.
If you are not familiar with JMP, then start with the
interface and explains the basics of using JMP.
The rest of the tutorials help you with specific aspects of JMP, such as creating a pie chart, using Graph
Builder, and so on.
Access Sample Data Tables
All of the examples in the JMP documentation suite use sample data. To access JMP’s sample data tables,
select
Help > Sample Data. From here, you can do the following:
•Open the sample data directory.
•Open an alphabetized list of all sample data tables.
•Find a sample data table within a category.
Alternatively, the sample data tables are installed in the following directory:
On Windows:
C:\Program Files\SAS\JMP\9\Support Files <language>\Sample Data
On Macintosh: \Library\Application Support\JMP\9\<language>\Sample Data
Learn About Statistical and JSL Terms
The Help menu contains the following indexes:
Ta bl e 1 .2 Descriptions of Help Menu Indexes
Beginners Tutorial. It steps you through the JMP
Statistics Index
JSL Functions
Object Scripting
Provides definitions of statistical terms.
Provides definitions of JSL functions.
Provides a list of JSL scriptable objects and the messages that can be sent to
those objects.
DisplayBox Scripting
Provides a list of the JSL objects that comprise a JMP report.
For more details about these indexes, see Using JMP.
8PreliminariesChapter 1
Conventions
Learn JMP Tips and Tricks
When you first start JMP, you see the Tip of the Day window.
To turn off the Tip of the Day, clear the
Help > Tip of the Day. Or, you can turn it off using the Preferences window. See the Using JMP book.
You can use the JMP Quick Reference Card to learn more advanced commands in JMP. View this document
by selecting
Help > Books > JMP Quick Reference Card.
Access Resources on the Web
To access JMP resources on the Web, select Help > JMP.com or Help > JMP User Community.
The
JMP.com option takes you to the JMP Web site, and the JMP User Community option takes you to
JMP online user forums.
Conventions
The following conventions help you relate written material to information that you see on your screen.
•Most open data table names that are used in examples appear in
Animals.jmp) in this document. References to variable names in data tables and items in reports also
appear in
•Note: Special information, warnings, and limitations are noted as such in boldface.
•Reference to menu names (
•Words or phrases that are important or have definitions specific to JMP are in italics the first time they
occur in the text. For example, the word platform is in italics the first time you see it. Most words in
italics are defined when they are first used unless clear in the context of use.
Helvetica according to the way they appear on the screen or in the documentation.
File menu) or menu items (Save option) appear in Helvetica bold.
Show tips at startup check box. To view it again, select
Helvetica font (Animals or
Use JMP Platforms
JMP uses many statistical methods that are organized and consolidated into the platforms within the
Analyze and Graph menus.
Work with Multiple Data Tables and Platforms
As mentioned earlier, platforms use interactive windows that help you analyze data and work with graphs.
You can have any number of data tables open at the same time and any number of platforms open for each
data table. If you have several data tables open, then the platform that you launch analyzes the current data
table. The current data table is either the active data table window or the table corresponding to the current
report window.
Chapter 1Preliminaries9
Use JMP Platforms
How JMP Platforms Are Designed
Before you use JMP’s statistical platforms, note the following design aspects of JMP:
•JMP implements general methods that are consistent with its key concepts. Although platforms produce
a variety of results that handle many situations, all platforms are consistent in their treatment of data and
statistical concepts.
•JMP methods are generic. They adapt themselves to the context at hand. The principal concept that
drives analyses is modeling type. For details, see “Assign Mod e ling Type s , ” p. 9. For example, JMP
automatically analyzes a variable with nominal values differently than it analyzes a variable with
continuous values.
•JMP platforms give you almost everything that you need at once. If this is more information than you
want, you can conceal the reports or graphs that you do not need. The advantage is that there is less
need to search for statistical commands.
Process for Analyzing Data Using Platforms
To begin analyzing your data, proceed as follows:
1. With your data table open, assign or change modeling types, as needed. See “Assign Modeling Types,”
p. 9.
2. Choose an analysis and launch the corresponding platform. See “Choose an Analysis and Launching a
Platform,” p. 11.
3. Complete the launch window. See “Complete a Launch Window,” p. 11.
4. View the report window. See “View a Report Window,” p. 11.
Assign Modeling Types
Note: For more details about working with modeling types, see Using JMP.
The modeling type of a variable can be one of the following types, shown with its corresponding icon:
•Continuous
•Ordinal
•Nominal
When you import data into JMP, it predicts which modeling types to use. Character data is considered
nominal, and numeric data is considered continuous. However, you might want to change the modeling
type, depending on which type of analysis you are performing.
To change the modeling type, click on the modeling type icon next to the variable and make your selection.
10PreliminariesChapter 1
Use JMP Platforms
Figure 1.2 Changing Modeling Type
About Modeling Types
The modeling type tells JMP how to treat its values during analyses. Changing the modeling type lets you
look at a variable in different ways in an analysis.
Ta bl e 1 .3 Descriptions of Modeling Types
Continuous
Columns can contain only numeric data types. Continuous values are
treated as continuous measurement values. JMP uses the numeric values
directly in computations.
Ordinal
Columns can contain either numeric or character data types. JMP analyses
treat ordinal values as discrete categorical values that have an order. If the
values are numbers, the order is the numeric magnitude. If the values are
character, the order is the sorting sequence.
Nominal
Columns can contain either numeric or character data types. All values are
treated in JMP analyses as if they are discrete values with no implicit order.
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