MINITAB STATISTICAL SOFTWARE

Features

Assistant

  • Measurement systems analysis

  • Capability analysis

  • Graphical analysis

  • Hypothesis tests

  • Regression

  • DOE

  • Control charts

Healthcare Module

Regression

  • Cox 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

  • Model validation

  • Multivariate Adaptive Regression Splines

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 Sixpack™

  • Tolerance intervals

  • Acceptance sampling and OC curves

  • Multi-Vari chart

  • Variability chart

Power and Sample Size

  • Sample size for estimation

  • 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

Time Series and Forecasting

  • Time series plots

  • Trend analysis

  • Decomposition

  • Moving average

  • Exponential smoothing

  • Winters’ method

  • Auto-, partial auto-, and cross correlation functions

  • ARIMA

  • Box-Cox Transformation*

  • Augmented Dickey-Fuller Test*

  • Forecast with Best ARIMA Model*

Tables

  • Chi-square, Fisher’s exact, and other tests

  • Chi-square goodness-of-fit test

  • Tally and cross tabulation

Graphics

  • Graph Builder*

  • Binned scatterplots, boxplots, bubble plots, bar charts, correlograms, dotplots, 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

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

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

Predictive Analytics

  • Automated Machine Learning

  • CART® Classification

  • CART® Regression

  • MARS® 

  • Random Forests® Classification

  • Random Forests® Regression

  • TreeNet® Classification

  • TreeNet® Regression

Nonparametrics

  • Sign test

  • Wilcoxon test

  • Mann-Whitney test

  • Kruskal-Wallis test

  • Mood’s median test

  • Friedman test

  • Runs test

Simulations and Distributions

  • Random number generator

  • Probability density, cumulative distribution, and inverse cumulative distribution functions

  • Random sampling

  • Bootstrapping and randomization tests

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

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

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

Multivariate

  • Principal components analysis

  • Factor analysis

  • Discriminant analysis

  • Cluster analysis

  • Correspondence analysis

  • Item analysis and Cronbach’s alpha

  • Multivariate Adaptive Regression Splines

Equivalence Tests

  • One- and two-sample, paired 2x2 crossover design

Macros and Customization

  • Customizable menus and toolbars

  • Extensive preferences and user profiles

  • Powerful scripting capabilities

  • Python integration

  • R integration