Better decision making.
Faster performance.
Easier than ever.
Now with CART®
Anywhere on the Cloud
Minitab delivers statistical analysis, visualizations, predictive and improvement analytics to enable data-driven decision making. Regardless of statistical background, Minitab can empower an organization to predict better outcomes, design better products and improve the future through its easy-to-use software or support network of expert statisticians.
Better
Our newest features empower users with better decision-making capabilities for both the seasoned user or new users of our software.
Faster
Faster performance to synthesize larger amounts of data with ease. Discover valuable insights in your data, faster.
Easier
Easier than ever. A new intuitive interface and Minitab’s Assistant are able to easily guide you through your data analysis. Industry-leading technical support and training are available to help you along the way.
Better Decisions
Unlock better decision-making from everywhere with Minitab available in both the trusted desktop application you know and love, and our new cloud-enabled web app. Expand your insights to be better informed and proactive in your industry with the unparalleled power of statistics in Minitab, including our popular predictive analytics tool, Classification and Regression Trees (CART®).
Interface Improvement: Multi-Select in the Navigator
Ability to select multiple items from the Navigator that was introduced in Minitab 19.1. Selecting a range of output makes it easier for users who need to remove or send output from the Navigator.
with the unparalleled power of statistics in Minitab, including our popular predictive analytics tool, Classification and Regression Trees (CART®).
Creating Faster and Safer Models with Validation
Evaluate the accuracy of your regression models with the validation option quickly. Effortlessly resample or segment your data by test and training sets, then evaluate the predictive accuracy of your model faster than ever. It Includes Regression, Binary Logistic Regression and Poisson Regression.
Easier Integration
With Python’s open source integration, combine your scripts with your Minitab data and analyze them easily in Minitab Statistics Software. Increase your analysis in the interface or in a macro and take advantage of further exploration. Easily collaborate with data scientists with Minitab to solve even more problems.
New Visualizations: Parallel Coordinates Plot
A parallel coordinates plot is a graph that displays multivariate numerical data, making it easy to visualize multiple dimensions.
New Visualizations: Binned Scatterplot
A binned scatterplot is a visual to display the relationship between two continuous variables when the dataset contains many observations. The gradient can be defined by observation frequency or by the mean of another variable.
New Visualizations: Heat Map
A heatmap is a visual to display the impact of multiple categorical variables on a metric. The multiple categorical variables are displayed in a table layout with a gradient to display a function of a metric (e.g., percent defects, average customer satisfaction rating).
Update: Report
A Report within a Minitab project.
Create and view reports directly within
your Minitab Project file, making it easy to organize results. Reports are customizable and support the aggregation and curation of live-linked Minitab tables and graphs. Users can also add annotations to a Report.
A better interface
The Minitab environment was improved to make results creation, navigation and management easier and faster than in previous versions.
Output Pane
The Output pane contains statistical and graphical results, replacing the Session window of previous releases. Graphs that are created with a command are displayed with the results, rather than a separate window as in previous releases. Each command will have its own page, making it easier to find and interact with results. Output contains the name of the worksheet at the top (in this view, Beltwear):
Navigator
The Navigator contains all command output and is shown by default. It can be toggled on/off on the left side of the status bar (across the bottom of the application) and through the View menu.
The drop-down menu allows you to sort and group by worksheet
Split View: Comparing Results
Easily compare results by right mouse clicking on an item in the navigator and open in split view:
Worksheets/Data
In Minitab, all data resides in worksheets. Worksheets now reside in tabs along the bottom of the application. The view can be toggled on/off using the right side of the status bar or using the View menu.
Worksheet Information is located under the Data menu or if you right mouse click the worksheet tab.
Menus/Toolbars
The Editor, Tools and Window menus were removed. Functionality was rearranged to improve discoverability and usability.
File menu additions: Each of these are now located under File menu:
The View menu has been added:
Toolbars, Zoom and Customize functionality now reside in the View menu.
The Status Bar at the bottom of the application makes it easy to toggle views of the Navigator (left), Output Pane & Worksheets view, Worksheets only view or Output only view. Zoom for output is also easier.
Status bar:
Command Line/History
The Release 19 Command Line/History pane replaces the Release 18 Command Line, Command Line Editor and History window. View-Command Line/History
Statistical Features
Design of Experiments: Analyze Binary Response
Analyze binary responses is now available in the Screening, Factorial and Response Surface platforms. A major advantage is that it will allow for joint optimization of continuous and binary responses.
Quality Tools: Normal Capability Analysis
The Normal Capability Analysis commands (Normal, Between/Within, Multiple Variables (Normal) have had the following updates:
Dialog changes
In the File-Options sub dialog, the options for Confidence intervals changed from Two-sided, Lower Bound, Upper Bound to One-sided (default) and Two-sided.
Modeling:
Provide modern criterion (AICc and BIC) to reduce models
Using p-values as stopping rules for forward selection, backward elimination, and stepwise model selection is losing favor in the statistical community. Criterion-based methods, such as minimizing AICc or BIC have become standard both in academia and in practice.
Regression: Add Pareto Chart to Fit Regression Model
A Pareto plot of effects has been added to Regression and made accessible through the Graphs sub dialog.
Basic Statistics: Correlation now includes matrix plot to visualize data
Now available in 64 bit
Minitab Statistical software is available in 64-bit versions.
Calc-Resampling
The Bootstrapping and Resampling commands existed in Express and will be implemented in Minitab Statistical Software with the release of 19.1.
To get information for Licensing and Pricing, please contact us by sending an e-mail to info@inovadanismanlik.com.tr or by dialling +90 312 210 13 44.
According to the usage period, The license options of Minitab 19 Statistical Quality Software are ”ANNUAL“ and “PERPETUAL” as follows:
ANNUAL Licenses
Multi User License – MUL
Perpetual Licenses
Single User License – SUL
Perpetual Simultaneous License – PSL
Minitab 19 is the latest version of the Minitab Statistical Quality software. Academic software can only be used in universities and institutes for educational purposes. Licenses are made to the authorities having the e-mail address “edu.tr”. According to the usage period, The license options of Minitab 19 Statistical Quality Software are ”ANNUAL“ and “PERPETUAL” as follows:
ANNUAL Licenses
Multi User License – MUL
Perpetual Licenses
Single User License – SUL
Perpetual Simultaneous License – PSL