Minitab Statistical Software

Vendor: Minitab

Analyze your data and improve your products and services with the leading statistical software used to implement Six Sigma worldwide.

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Why use Minitab in your projects?

Ease of Use

  • Intuitive design is simple to learn
  • Menus and tools arranged logically, matching textbooks and training materials
  • Project Manager organizes analysis
  • ReportPad™ for generating reports
  • Easily export output to PowerPoint and Word
  • Clear, comprehensive Help system
  • StatGuide™ explains output
  • Tool-specific tutorials
  • Glossary of statistical terms
  • Methods and formulas used in calculations
  • Smart Dialog Boxes™ remember recent settings
  • Hundreds of sample data sets
  • Available in multiple languages
  • Increased speed and improved performance

Integration with other tools

  • Import/export: Excel, Text, CSV, HTML, etc.
  • Exhange Stats data with Oracle Crystal Ball for Simulation
  • Visualize and Analyze Data using Process Simulator

Data and File Management

  • All-in-one project files include entire analysis
  • Spreadsheet-like worksheets
  • Unlimited worksheets, with up to 4000 columns and unlimited rows in each
  • Query databases with ODBC
  • Assign formulas to columns; columns update when data change
  • Multiple Undo/Redo
  • Numeric, text and date/time formats
  • Data manipulation: merge, subset, sort, transpose, code, etc.
  • Matrix functions
  • Password protection


  • Menu that easily leads you through your analysis
  • Helps you choose the right tool using an interactive decision tree
  • Includes guidelines to ensure your analysis is successful
  • Uses a simplified interface that is easy to understand
  • Provides interpretation of your output
  • Creates comprehensive reports for presenting results

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 test
  • Correlation and covariance
  • Normality test
  • Goodness-of-fit test for Poisson


  • State-of-the-art graphics engine
  • Pictorial galleries simplify graph creation
  • Interactively edit attributes (axes, labels, etc.)
  • Recreate custom graphs with new data
  • Easily place multiple graphs on one page
  • Display data for different variables or groups in panels
  • Information display tools: tooltips, crosshairs, plant flags
  • Graphs can update as data change
  • Built-in graphs available with a single click
  • Scatterplots, matrix plots, boxplots, dotplots, histograms, charts, time series plots, etc.
  • Line plots
  • Contour and rotating 3D plots
  • Probability and probability distribution plots
  • Numerous special-purpose graphs
  • OLE to edit Minitab graphs in other applications
  • Graph brushing to explore points of interest
  • Export: TIF, JPEG, PNG, BMP, GIF, EMF

Regression Analysis

  • Linear regression
  • Nonlinear regression
  • Orthogonal regression
  • Binary, ordinal and nominal logistic regression
  • Partial least squares (PLS)
  • Stepwise and best subsets
  • Residual plots
  • Easily create indicator variables
  • Confidence and prediction intervals

Analysis of Variance

  • General linear model (GLM)
  • Unbalanced nested designs
  • Fully nested designs
  • Analysis of means
  • Multiple comparisons
  • Residual, main effects, and interaction plots

Design of Experiments

  • Two-level factorial designs
  • Split-plot designs
  • General factorial designs
  • Plackett-Burman designs
  • Response surface designs
  • Mixture designs
  • D-optimal and distance-based designs
  • Taguchi designs
  • User-specified designs
  • Analyze variability for factorial designs
  • Response prediction
  • Botched runs
  • Response optimization
  • Plots: residual, main effects, interaction, cube, contour, surface, wireframe
  • Effects plots: normal, half-normal, Pareto

Statistical Process Control

  • Run chart
  • Pareto chart
  • Cause-and-effect (fishbone) 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, P', U'
  • Time-weighted control charts: MA, EWMA, CUSUM
  • Multivariate control charts: T-squared, generalized variance, MEWMA
  • Rare event control charts: G, T
  • Custom tests for special causes
  • Historical/shift-in-process charts
  • Individual distribution identification
  • Box-Cox transformation
  • Johnson transformation
  • Process capability: normal, non-normal, attribute, batch
  • Process capability for multiple variables
  • Capability Sixpack™
  • Multi-Vari chart
  • Symmetry plot
  • Acceptance sampling and OC curves
  • Tolerance intervals

Measurement Systems Analysis

  • Data collection worksheet generator
  • Gage R&R Crossed: ANOVA and Xbar-R methods
  • Gage R&R Nested
  • Gage R&R for more than two variables
  • Misclassification probabilities
  • Gage run chart
  • Gage linearity and bias
  • Type 1 Gage Study (single part)
  • Attribute Gage Study – AIAG analytic method
  • Attribute agreement analysis

Reliability/Survival Analysis

  • Parametric and nonparametric distribution analysis
  • Goodness-of-fit measures
  • ML and least squares estimates
  • Exact failure, right-, left-, and interval-censored data
  • Accelerated life testing
  • Regression with life data
  • Reliability test plans
  • Threshold parameter distributions
  • Analysis of repairable systems
  • Analysis of multiple failure modes
  • Probit analysis
  • Weibayes analysis
  • Hypothesis tests on distribution parameters
  • Plots: distribution, probability, hazard, survival
  • Warranty analysis

Multivariate Analysis

  • 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


  • Sign test
  • Wilcoxon test
  • Mann-Whitney test
  • Kruskal-Wallis test
  • Mood’s median test
  • Friedman test
  • Runs test


  • Chi-square, Fisher’s exact, and other tests
  • Chi-square goodness-of-fit test
  • Tally and cross tabulation

Power and Sample Size

  • Sample size for estimation
  • One-sample Z
  • One- and two-sample t
  • Paired t
  • One and two proportions
  • One- and two-sample Poisson rates
  • One and two variances
  • One-Way ANOVA
  • Two-level factorial design
  • Plackett-Burman and general full factorial designs
  • Power curves

Simulation and Distributions

  • Random number generator
  • Density, cumulative distribution, and inverse cumulative distribution functions
  • Random sampling

Macros and Customizability

  • Customizable menus and toolbars
  • Extensive preferences and user profiles
  • DMAIC Toolbar
  • Comprehensive command language
  • Powerful macro capability
  • COM-enabled automation