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Data analysis software used by data explorers worldwide. Links dynamic data visualization with powerful statistics.
Collaborative analytics software that offers a robust online platform to share interactive reports with anyone in an organization.
Predictive analytics software that offers all the tools in JMP plus advanced features for more sophisticated analyses.
Clinical data analysis software that shortens the drug development process by streamlining the analysis of clinical trials data.
Genomic data analysis software that allows researchers to visualize, explore and understand vast genomics data sets.
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Explore resources designed to help you quickly learn the basics of JMP right from your desk.
A webinar series for JMP users of all experience levels who want to build their analytic skills.
New User Welcome Kit
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Statistical Thinking Course
Learn practical skills in this free online statistics course encompassing short videos, demonstrations, exercises and more.
JMP Training from SAS
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JMP is a division of SAS that produces interactive statistical discovery software.
Thirty Years of JMP
Take an interactive walk down memory lane with user profiles, vintage videos, an interview with John Sall and more.
SAS Co-Founder and Executive Vice President John Sall is the creator and chief architect of JMP software.
100 SAS Campus Drive
Cary, NC 27513-2414, USA
Correlation for pairs of continuous variables.
Analyze > Fit Y by X, Analyze > Multivariate, Methods > Multivariate
This page describes how to compute the following nonparametric measures of association in JMP®: Spearman’s Rho, Kendall’s Tau, and Hoeffding’s D.
Model the relationship between two continuous variables.
Analyze > Fit Y by X
Model the relationship between a continuous response and multiple explanatory variables.
Analyze > Fit Model
Model the probability of occurrence of an event.
Model the probability of occurrence of an event using more than one explanatory variable.
Analyze > Fit Model
Create and compare least-squares or logistic regression models.
Analyze > Fit Model > Stepwise Personality
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