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.
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
- Poynomial regression
- Spline fitting
- Inverse prediction
Resampling
- Bootstrapping
- Permutation test
- Sampling with replacement
- Simulation
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
Featured Resources
-
Producing and Interpreting Basic Statistics Using JMP® JMP lets you interactively produce analyses, graphs and associated statistics at the same time. See how to generate and interpret basic summary statistics, fit distributions and perform hypothesis testing on the mean and on the standard deviation.
-
Basic Analysis and PlottingSee, in this case study about housing prices in three cities, how to visualize data to make analyses accessible to statisticians and non-statisticians.
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.
