Minitab Feature List

* New or Improved

Assistant

  • Measurement systems analysis *
  • Capability analysis 
  • Graphical analysis 
  • Hypothesis tests 
  • Regression 
  • DOE 
  • Control charts  *

Graphics

  • Scatterplots, matrix plots, boxplots, dotplots, histograms, charts, 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

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

Regression

  • Linear and nonlinear regression 
  • Binary, ordinal and nominal logistic regression *
  • Stability studies 
  • Partial least squares
  • Orthogonal regression *
  • Poisson regression 
  • Plots: residual, factorial, contour, surface, etc. 
  • Stepwise and best subsets 
  • Response prediction and optimization

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

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

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 SixpackTM 
  • Tolerance intervals *
  • Acceptance sampling and OC curves

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 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  

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

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

Multivariate

  • 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

Equivalence Tests

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

Tables

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

Simulations and Distributions

  • Random number generator
  • Probability density, cumulative distribution, and inverse cumulative distribution functions
  • Random sampling

Macros and Customization

  • Customizable menus and toolbars
  • Extensive preferences and user profiles 
  • Powerful scripting capabilities