JMP data visualization illustration - bubble plot

Basic Data Analysis and Modeling

Statistical insights anyone can use. 

  • Easily analyze one, two, or many variables at a time in linked analyses that let you unfold the hidden story in your data. 
  • Explore and interpret analysis results with specific graphs designed for every statistic.
  • Let JMP pick the right test and model for you based on your data and selected variables.
  • Perform just-in-time statistical analysis, in flow, to solve your problem within a single analysis window.
We definitely saw a return on investment and gained confidence that applying statistical methods to real-life problems would benefit the company in the long term.

Vasco Cachaco
Principal Six Sigma Process Champion, Xaar


Basic Data Analysis and Modeling With JMP: Highlighted Features

Distribution fitting

  • Fit Normal
  • Fit Cauchy
  • Fit Student's t
  • Fit SHASH
  • Fit ZI SHASH
  • Fit Exponential 
  • Fit ExGaussian
  • Fit Gamma
  • Fit Lognormal
  • Fit Weibull
  • Fit Normal 2 Mixture
  • Fit Normal 3 Mixture
  • Fit Smooth Curve
  • Fit Johnson 
  • Fit All
  • Enable Legacy Fitters
  • Poisson
  • Weibull
  • Exponential
  • LogNormal
  • Test for normality

Basic hypothesis testing

  • t-Test
  • Paired t-test
  • ANOVA
  • Equivalence testing
  • Superiority
  • Non-inferiority
  • Chi-squared test
  • Nonparametric tests
  • Nonparametric equivalence tests
  • Effect size
  • ANOM
  • Exact test
  • Odds ratio
  • Relative risk
  • MANOVA
  • Robust
  • Unequal variance

Interval estimation

  • Confidence interval
  • Tolerance interval
  • Prediction interval
  • Margin of error
  • Error bars

Power and sample size

  • Sample size explorers
  • Statistical power for hypothesis tests
  • Sample size for confidence intervals
  • Reliability Demonstration 
  • Reliability Life Testing
  • Sigma Quality Level
  • Sample size calculation

Profiling

  • Profiler
  • Contour Profiler
  • Cube Plots
  • Box Cox Y Transformation
  • Surface Profiler

Regression

  • Correlation
  • Simple least squares
  • Multiple linear regression
  • Logistic regression
  • Stepwise
  • Polynomial regression
  • Spline fitting
  • Inverse prediction
  • Model diagnostics
  • ROC curves
  • Lift curves
  • Precision recall curves
  • Residual plots

Resampling

  • Bootstrapping
  • Permutation test
  • Sampling with replacement
  • Simulation

The best discoveries start with JMP

Featured Resources

JMP data visualization illustration - bubble plot

JMP® Analytic Capabilities

See everything that JMP® can do for you and your organization, from data access and cleaning, to exploration and visualization, all the way through sharing and communicating your results.

JMP Analytic Capabilities

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