Mini-tab is Software for Statistical Calculation Feathers of Minitab are follow
The leading statistical software for quality improvement worldwide.
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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
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