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

Assistant

• 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

Graphics

• 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

Nonparametrics

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

Tables

• 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