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    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.

    SKU: MIN10A-EN
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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

    • ANOVA
    • General linear model (GLM)
    • Unbalanced nested designs
    • MANOVA
    • 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
    • ARIMA


    • 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