MINITAB’s intuitive user interface, broad statistical capabilities, presentation-quality graphics, and powerful macro language have made MINITAB the standard in desktop statistical analysis software.

MINITAB raises those standards to a whole new level. Plus, it has powerful capabilities that give even greater functionality to our already extensive toolset.

Easy-to-use Manuals and Help

• Documentation helps you analyze data and interpret results
• Powerful macro programming language
• 32-bit processing for faster speed
• Session Window: editable, paste output into word processor with formatting intact; save output in RTF
• Variable names can be up to 31 characters
• Context-sensitive pop-up menus

Data and File Management

• Import & Export: Excel, Lotus 1-2-3, Quattro Pro, dBase, and text files
• Preview worksheet before opening
• Calculator
• DDE (Dynamic Data Exchange)
• Font control in Data window
• Multiple worksheets
• Insert and move columns
• Data manipulation
• Spreadsheet-like Data window
• New, easy way to subset
• Store descriptive information with a project
• Save graphs, worksheets and session window output in one file
• Matrix functions including transpose, inverse, eigenvalues, eigenvectors
• ODBC (Open DataBase Connectivity) to query and retrieve from databases
• Analyze numeric, text and date & time data
• Double precision worksheets

Basic Statistics

• Descriptive Statistics, with both numerical and graphical summaries
• Confidence intervals, one- and two-sample t-tests, paired t-tests
• Correlation and covariance matrices
• Analysis of means
• Estimate and tests for one and two sample proportions

Regression Analysis

• Simple and multiple linear regression
• Model selection using stepwise or best subsets regression
• Residual plots
• Identification of unusual observations, model diagnostics, prediction/confidence intervals for new observations
• Logistic regression: binary, ordinal, or normal; diagnostic plots
• Polynomial regression, with or without log transforms

Analysis of Variance

• General linear model for balanced, unbalanced and nested designs, fixed and random effects
• Unbalanced nested designs
• Multiple factor ANOVA for balanced models, fixed and random effects
• Multiple comparisons
• Multivariate analysis of variance
• Analyze fully nested designs
• Sequential sum of squares, identify unusual observations, model diagnostics
• Residual, main effects, and interaction plots
• Tests of homogeneity of variances

Tables

• Simple and multiple Correspondence analysis
• Contingency tables
• Goodness-of-fit test

Multivariate Analysis

• Principal components, Discriminant, Cluster and Factor analysis

Statistical Process Control

• Control charts: Xbar, R, S, Xbar-R, Xbar-S, I, MR, I-MR, MA, EWMA, CUSUM, zone, short run, p, np, c, u
• Variable charts for non-normal data
• Customizable tests for special causes
• Capability analysis for normal, non-normal and attribute data
• Process capability six-pack: provides a visual display of process capability, and checks normality of data
• Run and Pareto Charts; Fishbone
• Historical/Shift-In-Process Charts
• Box-Cox transformations
• Gage R&R: ANOVA and Xbar methods, gage linearity, accuracy and run chart
• Multi-Variate charts up to 4 factors

Reliability & Survival Analysis

• Probability Survival and Hazard plots
• Exact Failure right, left and interval censored data
• Weibull, exponential, lognormal, normal and logistic distributions
• Nonparametric estimates of distribution
• Accelerated life testing
• Regression with life data
• Probit analysis

Nonparametrics

• Sign, Wilcoxon, Mann-Whitney tests and confidence intervals
• Friedman test for two-way layout
• Runs, Kruskal-Wallis and Moods median tests

Designed Experiments

• Factorial designs: two-level and full fractional factorial designs; 3-15 factors
• General Factorial Designs
• Factorial Designs with Botched Runs
• Plackett-Burman screening; 3-47 factors
• Response surface designs: central composite, Box-Behnken
• Multiple response optimization
• Response surface contour and wire frame
• Mixture designs: simplex centroid and simplex lattice designs, fit Scheffe mixture models up to a full cubic
• Residual, main effect and interaction plots
• High resolution cube and effects plots
• Analysis of Taguchi inner-outer array
• Augment and modify existing designs

Graphics

• Presentation-style
• Built-in graphs in analysis commands
• Scatter, box and time series plots, histograms, charts, 3D graphs
• Numerous special-purpose graphs
• Easy editing and customization of all attributes: color, fonts, data display and annotation
• OLE for pasting into other packages
• Graph brushing: displays values of user selected points on plot, all relevant graphs
and Data window, so to subset and analyze
• Save graphs as JPEG, PNG, TIFF, BMP

Time Series

• Auto-, partial auto- and cross correlation
• Univariate Box-Jenkins ARIMA analysis; seasonal and nonseasonal with forecasts
• Trend analysis: linear, quadratic, exponential or S-curve
• Decomposition: multiplicative or additive
• Winter’s additive and multiplicative for seasonal smoothing; single or double exponential smoothing
• Moving average

Simulation and Distributions

• Random number generator: exponential, binomial, beta, Poisson, normal, Weibull and logarithmic
• Density, distribution, and inverse cumulative distribution functions
• Symmetry plot
• Random sampling