Minitab 18.1

مینی تب

MINITAB Statistical Software is the ideal package for Six Sigma and other quality improvement projects. From Statistical Process Control to Design of Experiments, it offers you the methods you need to implement every phase of your quality project, along with features like StatGuide and ReportPad that help you understand and communicate your results. No package is more accurate, reliable, or easy to use. In addition to more statistical power than our previous release, MINITAB 14 offers many exciting new features such as: A powerful new graphics engine that delivers engaging results that offer tremendous insight into your data An effortless method to create, edit, and update graphs The ability to customize your menus and toolbars so you can conveniently access the methods you use most.
- 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, P', U'
- Time-weighted control charts: MA, EWMA, CUSUM
- Multivariate control charts: T-squared, generalized variance, MEWMA
- Rare event control charts: G, T
- 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
- 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

- 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