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
- Normal
- 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
- 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
- Statistical power
- Sample size calculation
Regression
- Correlation
- Simple least squares
- Multiple linear regression
- Logistic regression
- Stepwise
- Polynomial regression
- Spline fitting
- Inverse prediction
- Model diagnostics
- Residual plots
Resampling
- Bootstrapping
- Permutation test
- Sampling with replacement
- Simulation
The best discoveries start with JMP
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.
