Minitab’s comprehensive collection of statistics and its easy-to-use interface make it the leading package used to improve quality worldwide.
= New or enhanced in Release 15
- Menus and commands organized logically, matching textbooks and training manuals
- Project Manager: organizes analysis
- ReportPad™: report generator
- Clear, comprehensive Help system
- StatGuide™: explains output
- Online tutorials
- Glossary of statistical terms
- Methods and formulas used in calculations
- Smart Dialog Boxes™: remember recent settings
- Hundreds of sample data sets
- Convenient desktop access to maintenance updates
- Multiple language versions
- All-in-one project files include all parts of analysis
- Unlimited worksheets, with up to 4000 columns and unlimited rows in each
- Spreadsheet-like Data windows
- Easy copy/paste with Microsoft Excel
- Assign formulas to columns; columns update when data change
- Multiple Undo/Redo in the Data window
- Import/export: Excel, Text, HTML, etc.
- Import/export: CSV (Comma delimited), Spreadsheet XML
- Query databases with ODBC
- Numeric, text and date/time formats
- Currency, percentage and elapsed time formats
- Data manipulation: merge, subset, sort, transpose, code
- Matrix functions
- Password protection
- Time and text functions
- Percentiles, combinations, permutations, and factorials
- Descriptive statistics
- One-sample Z test
- One- and two-sample t-tests, paired t-test
- One- and two-sample Poisson rate tests
- One- and two-proportions tests
- Correlation and covariance
- Normality test
- Test for equal variances
- One-sample variance test
- Goodness-of-fit test for Poisson
- State-of-the-art graphics engine
- Pictorial gallery and streamlined dialog boxes simplify graph creation
- Interactively edit attributes (axes, labels, etc.) and recreate custom graphs with new data
- Easily place multiple graphs on one page
- Display data from different variables or by groups in panels on the same page
- 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 plots
- Probability distribution plots
- Interval plots, individual value plots, area graphs, ECDF plots
- Numerous special-purpose graphs
- OLE: edit Minitab graphs in other applications
- Graph brushing
- Save as TIF, JPEG, PNG, BMP
- Save as GIF, EMF
- Linear regression
- Polynomial regression
- Binary logistic regression
- Ordinal and nominal logistic regression
- Partial least squares (PLS)
- Stepwise and best subsets
- Residual plots
- Easily create indicator variables
- Confidence and prediction intervals
- ANOVA
- General linear model (GLM)
- Unbalanced nested designs
- MANOVA
- Fully nested designs
- Analysis of means
- Multiple comparisons
- Residual, main effects, and interaction plots
- Run chart
- Pareto chart
- Fishbone diagram
- Variables control charts: XBar, R, S, XBar-R, XBar-S, I, MR, I-MR
- Variables control charts: I-MR-R/S, zone, Z-MR
- Attributes control charts: P, NP, C, U
- Time-weighted control charts: MA, EWMA
- Time-weighted control charts: CUSUM
- Multivariate control charts: T2, 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 and batch
- Process capability for multiple variables
- Process Capability Sixpack™
- Multi-Vari chart
- Symmetry plot
- Acceptance sampling and OC curves
- Data collection worksheet
- Gage R&R Crossed: ANOVA and Xbar-R methods
- Gage R&R Nested
- Misclassification probabilities
- Gage run chart
- Gage linearity and bias
- Type 1 Gage Study (single part)
- Attribute Gage Study – AIAG analytic method
- Attribute agreement analysis
- Two-level factorial 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
- Mixture plots
- Overlaid contour plot
- Response optimization
- Plots: residual, main effects, interaction, cube, contour, surface and wireframe
- Effects plots: normal, half-normal, and Pareto
- 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, and survival
- Warranty analysis
- One-sample Z, t, and proportion
- Two-sample t and proportions
- One-way ANOVA, two-level factorial and Plackett-Burman
- Power curves
- Principal components analysis
- Factor analysis
- Discriminant analysis
- Cluster analysis
- Correspondence analysis
- Cronbach’s Alpha (Item Analysis)
- Biplot for principal components and factor analysis
- Time series plots
- Auto-, partial auto-, and cross correlation functions
- ARIMA
- Trend analysis
- Decomposition
- Exponential smoothing
- Winters’ method
- Moving average
- Sign test
- Wilcoxon test
- Mann-Whitney test
- Kruskal-Wallis test
- Friedman test
- Runs test
- Mood’s median test
- Chi-square, Fisher’s exact, and other tests
- Chi-square goodness-of-fit test
- Tally and cross tabulation
- Random number generator
- Density, cumulative distribution, and inverse cumulative distribution functions
- Random sampling
- Customizable menus and toolbars
- Extensive preferences and user profiles
- Comprehensive command language
- Powerful macro capability
- COM-enabled automation
- MyMenu: add specialized functionality
