دانلود Minitab v18.1 نرم افزار تخصصی آمار و کنترل کیفیت مینی تب

- 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