JMP: a guide

Tools Articles

  • Author: Statistics Views
  • Date: 09 Jan 2017

JMP is a statistical software program for statistics developed by the JMP business unit of SAS Institute. It was created in 1989 to empower scientists and engineers to explore data visually. Since then, JMP has grown from a single product into a family of statistical discovery tools, each one tailored to meet specific needs. All of the software is visual, interactive, comprehensive and extensible. JMP is used primarily in applications such as Six Sigma, quality control and engineering, design of experiments and scientific research.

The software consists of five products which are outlined in further detail below: JMP, JMP Pro, JMP Clinical, JMP Genomics and the JMP Graph Builder App for the iPad. A scripting language is also available. The software is focused on exploratory analytics, whereby users investigate and explore data, rather than testing a hypothesis.


JMP is the data analysis tool of choice for hundreds of thousands of scientists, engineers and other data explorers worldwide. Users leverage powerful statistical and analytic capabilities in JMP to discover the unexpected.

JMP Pro:

Predictive analytics software that takes statistical discovery to the next level. Offers all the tools in JMP plus advanced features for more sophisticated analyses.

JMP Clinical:

JMP Clinical is a clinical data analysis software that shortens the drug development process by streamlining the analysis and reporting of clinical trials data.

JMP Genomics:

Genomic data analysis software that allows researchers to visualize, explore and understand vast genomics data sets.

JMP Graph Builder for iPad:

Free app that enables on-the-go data exploration and sharing of results from any JMP product.

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Published features on are checked for statistical accuracy by a panel from the European Network for Business and Industrial Statistics (ENBIS)   to whom Wiley and express their gratitude. This panel are: Ron Kenett, David Steinberg, Shirley Coleman, Irena Ograjenšek, Fabrizio Ruggeri, Rainer Göb, Philippe Castagliola, Xavier Tort-Martorell, Bart De Ketelaere, Antonio Pievatolo, Martina Vandebroek, Lance Mitchell, Gilbert Saporta, Helmut Waldl and Stelios Psarakis.