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  1. JMP Statistical Discovery

    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 …

  2. JMP (statistical software) - Wikipedia

    Discoveries made using JMP's analytical tools are commonly applied for experimental design. JMP is used in applications such as data mining, Six Sigma, quality control, design of experiments, as well …

  3. Software | JMP

    JMP software is a family of statistical discovery tools for scientists and engineers. All JMP products are visual, interactive, comprehensive, and extensible.

  4. JMP Student Edition

    With its powerful statistics and interactive visualizations, JMP is the ideal data analysis tool for understanding complex relationships, digging deeper, and discovering the unexpected.

  5. Download JMP Trial

    Download your free trial of JMP software. See for yourself why JMP is the data analysis tool of choice for hundreds of thousands of data explorers worldwide.

  6. Install JMP® 18 and higher on Windows and Windows Server …

    Nov 6, 2024 · The following is a step-by-step guide for sites that wish to provide users with instructions to install JMP ® on their machines. Note: This JMP Note is not intended to address any …

  7. About us - JMP

    We’ve seen scientists and engineers use JMP to advance green energy technologies, speed cancer therapies to market, protect fragile ecosystems with decisive conservation management, and build …

  8. Learn JMP - JMP User Community

    Start by watching our overview video for a quick tour of what JMP can do, or dive right into the Getting Started with JMP online training to begin hands-on learning.

  9. Home [my.jmp.com]

    ©2025 JMP Statistical Discovery LLC. All Rights Reserved. Terms of Use Privacy Statement Contact Us

  10. JMP Store | JMP Store

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