Minitab – This software is a technically advanced and very powerful virtual package that offers many advanced tools for statistical analysis. Soft is more focused on professional specialists with relevant experience who will be able to effectively reveal the possibilities of the product.
Minitab does not have any specific specialization, so you can visualize statistics, perform their analysis, or do deep processing. All processes are carried out at the highest program control, but at the same time, they are fully accessible and intuitive.

Minitab is also effectively used to control the quality of work, in order to improve the overall parameters. It uses the most innovative development methods that are widely used in world-famous companies.
Features of Minitab
- Professional platform for statistical analysis;
- Effective visualization of statistics;
- A simple but informative and flexible interface;
- Advanced quality control and improvement algorithms;
- Convenient real-time monitoring tools;
Assistant
- Measurement systems analysis
- Capability analysis
- Graphical analysis
- Hypothesis tests
- Regression
- DOE
- Control charts
Graphics
- Binned scatterplots, boxplots, charts, correlograms, dot plots, heatmaps, histograms, matrix plots, parallel plots, scatterplots, time series plots, etc.
- Contour and rotating 3D plots
- Probability and probability distribution plots
- Automatically update graphs as data change
- Brush graphs to explore points of interest
- Export: TIF, JPEG, PNG, BMP, GIF, EMF
Basic Statistics
- Descriptive statistics
- One-sample Z-test, one- and two-sample t-tests, paired t-test
- One and two proportions tests
- One- and two-sample Poisson rate tests
- One and two variances tests
- Correlation and covariance
- Normality test
- Outlier test
- Poisson goodness-of-fit test
Regression
- Linear regression
- Nonlinear regression
- Binary, ordinal, and nominal logistic regression
- Stability studies
- Partial least squares
- Orthogonal regression
- Poisson regression
- Plots: residual, factorial, contour, surface, etc.
- Stepwise: p-value, AICc, and BIC selection criterion
- Best subsets
- Response prediction and optimization
- Validation for Regression and Binary Logistic Regression*
Analysis of Variance
- ANOVA
- General linear models
- Mixed models
- MANOVA
- Multiple comparisons
- Response prediction and optimization
- Test for equal variances
- Plots: residual, factorial, contour, surface, etc.
- Analysis of means
Measurement Systems Analysis
- Data collection worksheets
- Gage R&R Crossed
- Gage R&R Nested
- Gage R&R Expanded
- Gage run chart
- Gage linearity and bias
- Type 1 Gage Study
- Attribute Gage Study
- Attribute agreement analysis
Quality Tools
- Run chart
- Pareto chart
- Cause-and-effect diagram
- Variables control charts: XBar, R, S, XBar-R, XBar-S, I, MR, I-MR, I-MR-R/S, zone, Z-MR
- Attributes control charts: P, NP, C, U, Laney P’ and U’
- Time-weighted control charts: MA, EWMA, CUSUM
- Multivariate control charts: T2, generalized variance, MEWMA
- Rare events charts: G and T
- Historical/shift-in-process charts
- Box-Cox and Johnson transformations
- Individual distribution identification
- Process capability: normal, non-normal, attribute, batch
- Process Capability SixpackTM
- Tolerance intervals
- Acceptance sampling and OC curves
- Multi-Vari chart
- Variability chart
Design of Experiments
- Definitive screening designs
- Plackett-Burman designs
- Two-level factorial designs
- Split-plot designs
- General factorial designs
- Response surface designs
- Mixture designs
- D-optimal and distance-based designs
- Taguchi designs
- User-specified designs
- Analyze binary responses
- Analyze variability for factorial designs
- Botched runs
- Effects plots: normal, half-normal, Pareto
- Response prediction and optimization
- Plots: residual, main effects, interaction, cube, contour, surface, wireframe
Reliability/Survival
- Parametric and nonparametric distribution analysis
- Goodness-of-fit measures
- Exact failure, right-, left-, and interval-censored data
- Accelerated life testing
- Regression with life data
- Test plans
- Threshold parameter distributions
- Repairable systems
- Multiple failure modes
- Probit analysis
- Weibayes analysis
- Plots: distribution, probability, hazard, survival
- Warranty analysis
Power and Sample Size
- The sample size for estimation
- The sample size for tolerance intervals
- One-sample Z, one- and two-sample t
- Paired t
- One and two proportions
- One- and two-sample Poisson rates
- One and two variances
- Equivalence tests
- One-Way ANOVA
- Two-level, Plackett-Burman and general full factorial designs
- Power curves
Predictive Analytics
- CART® Classification
- CART® Regression
- Random Forests® Classification*
- Random Forests® Regression*
- TreeNet® Classification*
- TreeNet® Regression*
Multivariate
- Principal components analysis
- Factor analysis
- Discriminant analysis
- Cluster analysis
- Correspondence analysis
- Item analysis and Cronbach’s alpha
Time Series and Forecasting
- Time series plots
- Trend analysis
- Decomposition
- Moving average
- Exponential smoothing
- Winters’ method
- Auto-, partial auto-, and cross-correlation functions
- ARIMA
Nonparametrics
- Sign test
- Wilcoxon test
- Mann-Whitney test
- Kruskal-Wallis test
- Mood’s median test
- Friedman test
- Runs test
Equivalence Tests
- One- and two-sample, paired
- 2×2 crossover design
Tables
- Chi-square, Fisher’s exact, and other tests
- Chi-square goodness-of-fit test
- Tally and cross-tabulation
Simulations and Distributions
- Random number generator
- Probability density, cumulative distribution, and inverse cumulative distribution functions
- Random sampling
- Bootstrapping and randomization tests
Macros and Customization
- Customizable menus and toolbars
- Extensive preferences and user profiles
- Powerful scripting capabilities
- Python integration
- R integration
System Requirements
Operating System: Windows 10 or Windows 11
RAM: 4 GB of memory or more recommended
Processor: 64-bit, x86 processor required (ARM processors are not supported)
Hard Disk Space: 2 GB (minimum) free space available
Screen Resolution: 1024 x 768 or higher
Data Sheet
Software: Minitab 21
Language: Multilangual
Developer: Minitab
Medicine: Pre_Activated