Minitab Statistical Software Download For Windows 19

Minitab is a statistical program designed for data analysis. With the user can analyze larger data sets – better, faster and easier – no matter where you are on your analytics journey

Minitab automates calculations and the creation of graphs, allowing the user to focus more on the analysis of data and the interpretation of results. It is compatible with other, LLC software. It is an assistant walks you through every step of your analysis and even helps you interpret your results. You don’t have to be a statistics expert to get the insight you need from your data.

With Minitab, Statistics that is easy to use even if your expertise is non-statistical. Easily identify distributions, correlations, outliers, and missing values. Key statistical tests include paired t-test, one and two proportion test, normality test, chi-square test, non-parametric tests. which comes along with a complete set of statistical calculation tools. It offers us the chance to draw up professional presentations mainly thanks to its user-friendly and customizable interface that makes it easier to work with stats.

Minitab Features

Assistant

• Measurement systems analysis
• Capability analysis
• Graphical analysis
• Hypothesis tests
• Regression
• DOE
• Control charts

Graphics

• Scatterplots, matrix plots, boxplots, dot plots, histograms, charts, time series plots, etc.
• Contour and rotating 3D plots
• Probability and probability distribution plots
• Automatically update graphs as data change
• Brush graphs to explore points of interest
• Export: TIF, JPEG, PNG, BMP, GIF, EMF

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 tests
• Correlation and covariance
• Normality test
• Outlier test
• Poisson goodness-of-fit test

Regression

• Linear and nonlinear regression
• Binary, ordinal and nominal logistic regression
• Stability studies
• Partial least squares
• Orthogonal regression
• Poisson regression
• Plots: residual, factorial, contour, surface, etc.
• Stepwise: p-value, AICc, and BIC selection criterion
• Best subsets
• Response prediction and optimization

Analysis of Variance

• ANOVA
• General linear models
• Mixed models
• MANOVA
• Multiple comparisons
• Response prediction and optimization
• Test for equal variances
• Plots: residual, factorial, contour, surface, etc.
• Analysis of means

Measurement Systems Analysis

• Data collection worksheets
• Gage R&R Crossed
• Gage R&R Nested
• Gage R&R Expanded
• Gage run chart
• Gage linearity and bias
• Type 1 Gage Study
• Attribute Gage Study
• Attribute agreement analysis

Quality Tools

• Run chart
• Pareto chart
• Cause-and-effect 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, Laney P’ and U’
• Time-weighted control charts: MA, EWMA, CUSUM
• Multivariate control charts: T², generalized variance, MEWMA
• Rare events charts: G and T
• Historical/shift-in-process charts
• Box-Cox and Johnson transformations
• Individual distribution identification
• Process capability: normal, non-normal, attribute, batch
• Process Capability Sixpack^TM
• Tolerance intervals
• Acceptance sampling and OC curves

Design of Experiments

• Definitive screening designs
• Plackett-Burman designs
• Two-level factorial designs
• Split-plot designs
• General factorial designs
• Response surface designs
• Mixture designs
• D-optimal and distance-based designs
• Taguchi designs
• User-specified designs
• Analyze binary responses
• Analyze variability for factorial designs
• Botched runs
• Effects plots: normal, half-normal, Pareto
• Response prediction and optimization
• Plots: residual, main effects, interaction, cube, contour, surface, wireframe

Reliability/Survival

• Parametric and nonparametric distribution analysis
• Goodness-of-fit measures
• Exact failure, right-, left-, and interval-censored data
• Accelerated life testing
• Regression with life data
• Test plans
• Threshold parameter distributions
• Repairable systems
• Multiple failure modes
• Probit analysis
• Weibayes analysis
• Plots: distribution, probability, hazard, survival
• Warranty analysis

Power and Sample Size

• The sample size for estimation
• The sample size for tolerance intervals
• One-sample Z, one- and two-sample t
• Paired t
• One and two proportions
• One- and two-sample Poisson rates
• One and two variances
• Equivalence tests
• One-Way ANOVA
• Two-level, Plackett-Burman and general full factorial designs
• Power curves

Multivariate

• 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

Equivalence Tests

• One- and two-sample, paired
• 2×2 crossover design

Tables

• Chi-square, Fisher’s exact, and other tests
• Chi-square goodness-of-fit test
• Tally and cross-tabulation

Simulations and Distributions

• Random number generator
• Probability density, cumulative distribution, and inverse cumulative distribution functions
• Random sampling
• Bootstrapping and randomization tests

Macros and Customization

• Customizable menus and toolbars
• Extensive preferences and user profiles
• Powerful scripting capabilities

Predictive analytics

• Advanced analytics and machine learning techniques for a deeper dive into your data.
• Tools for logistic regression, factor analysis, cluster variables.

Visualizations

• The graphical output that illustrates your findings; scatterplots, bubble plots, boxplots, dot plots, histograms, charts, time series plots and more.
• Graphs seamlessly update as data changes. Explore points of interest in more detail with updated brushing feature that zooms into sections of your graph.

Benefits

Smart Data Import

Easily correct for case mismatches, properly represent missing data, remove extra spaces, and make column lengths equal when importing data from Excel and other file types.

Automatic Graph Updating

Graphs and control charts update automatically when you add or edit data so you never have to worry about keeping your graphs in sync.

Seamless Data Manipulation

Explore your data right in the worksheet. Format columns to instantly identify and subset the most frequent values, outliers, out-of-spec measurements, and more.

Effortless Presentations

Export graphs and output directly to Microsoft Word or PowerPoint to easily create presentations and share your results with colleagues.

Free Technical Support 

Access unlimited phone or online support delivered by skilled specialists in statistics, quality improvement, and computer systems.

Exceptional Training

Learn how Statistical Software can help you improve your business from instructors who are seasoned statisticians and experienced quality professionals. Public, onsite, and remote training sessions are available. The course includes plenty of hands-on exercises using real-world examples.

What’s New

This software version 19 is a major upgrade in terms of improving user interface, ease of navigation, faster and packed with additional statistical features.

Minitab Pros and Cons

System Requirement