JMP is the data analysis tool of choice that scientists and engineers rely on for powerful analytic capabilities and dynamic statistical discovery.

JMP (pronounced "jump" [1]) is a suite of computer programs for statistical analysis and machine learning developed by JMP, a subsidiary of SAS Institute. The program was launched in 1989 to take …

JMP is powerful statistical software designed with scientists and engineers in mind, but ideal for anyone solving problems with data. Packed with tools for data preparation, analysis, graphing, and so much …

Nov 4, 2025 · Using the powerful capabilities of JMP, the book addresses problems requiring analysis by chi-square tests, t tests, ANOVA analysis, various regression models, DOE, and survival analysis.

Nov 24, 2025 · 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.

May 27, 2025 · JMP, a powerful statistical software, offers a wide range of advanced data analysis techniques to uncover hidden patterns and relationships. In this section, we'll explore some of the …

Chapters 6–19 cover the array of analysis techniques offered by JMP. Chapters begin with simple-to-use techniques and gradually work toward more complex methods.

Jul 22, 2024 · JMP works best for scientists, engineers, and researchers who need to visually explore and analyze data to make data-driven decisions. From my user analysis, roles in R&D, quality …

Easily analyze one, two or many variables at a time in linked analyses that let you unfold the hidden story in your data with JMP's data analysis and modeling tools.

Feb 15, 2025 · JMP provides an extensive toolkit for statistical analysis, including advanced modeling techniques that are essential for research applications. The software supports linear and nonlinear …