Minitab 16.0, CD, ML, Win

Minitab 16.0, CD, Multilingual, Win Minitab 16
The leading statistical software for quality improvement worldwide.
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.

Macros and Customizability
- Customizable menus and toolbars;
- Extensive preferences and user profiles;
- DMAIC Toolbar;
- Comprehensive command language;
- Powerful macro capability;
- COM-enabled automation.