JMP is a software program used for statistical analysis. It is created by SAS Institute Inc. Unlike SAS (which is command-driven), JMP has a graphical user interface, and is compatible with both Windows and Macintosh operating systems.
As of January 2020, Kent State uses JMP and JMP Pro version 14 on both Windows and Macintosh.
Kent State faculty and students have access to the full version of JMP at no charge. Go to software.kent.edu to download.
The following techniques are available only in JMP Pro (source). If you need any of the below techniques, you will need to use JMP Pro.
Kent State University maintains a university-wide site license for JMP and JMP Pro. All currently-employed faculty and staff, as well as currently-enrolled students are eligible to request a copy of the software at no charge. JMP is compatible with both Windows and Mac operating systems.
The Division of Information Technology currently distributes software and licenses for JMP version 14. JMP licenses must be renewed yearly. Please note that Mac OS X 10.12 (Sierra) and newer requires using JMP 13 or later.
Please submit a helpdesk ticket or contact your local desktop support person to receive a copy of the software.
Students, Faculty, and Staff can download JMP from software.kent.edu.
The SAS Institute provides useful tutorials for learning JMP software. You can access these tutorials by visiting the following links:
Design and Analysis of Experiments by Douglas Montgomery: a Supplement for Using JMP by With a growing number of scientists and engineers using JMP software for design of experiments, there is a need for an example-driven book that supports the most widely used textbook on the subject, Design and Analysis of Experiments by Douglas C. Montgomery. Design and Analysis of Experiments by Douglas Montgomery: A Supplement for Using JMP meets this need and demonstrates all of the examples from the Montgomery text using JMP. In addition to scientists and engineers, undergraduate and graduate students will benefit greatly from this book. While users need to learn the theory, they also need to learn how to implement this theory efficiently on their academic projects and industry problems. In this first book of its kind using JMP software, Rushing, Karl and Wisnowski demonstrate how to design and analyze experiments for improving the quality, efficiency, and performance of working systems using JMP. Topics include JMP software, two-sample t-test, ANOVA, regression, design of experiments, blocking, factorial designs, fractional-factorial designs, central composite designs, Box-Behnken designs, split-plot designs, optimal designs, mixture designs, and 2 k factorial designs. JMP platforms used include Custom Design, Screening Design, Response Surface Design, Mixture Design, Distribution, Fit Y by X, Matched Pairs, Fit Model, and Profiler. With JMP software, Montgomery's textbook, and Design and Analysis of Experiments by Douglas Montgomery: A Supplement for Using JMP, users will be able to fit the design to the problem, instead of fitting the problem to the design. This book is part of the SAS Press program.
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