= New or enhanced in Release 16

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

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 Import/export: Excel, Text, CSV, HTML, etc. 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 Time-weighted control charts: MA, EWMA, CUSUM Multivariate control charts: T-squared, generalized variance, MEWMA 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 Process 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	Customizable menus and toolbars Extensive preferences and user profiles DMAIC Toolbar