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What's New in Minitab 19

Versionen 19.1 & 19.2 & 19.2020.1

Simplified User Interface • Powerful Features • Faster Performance

Minitab 19 mit CART Minitab 19: Split View for comparing multiple Analysis

The simplified user interface and the new powerful features in Minitab 19 allow users to analyze large datasets using 64 bit.

By means of the new navigator feature in Minitab 19, users can group results and analyses by worksheet, sort them alphabetically or run them by a specific order. Moreover, the new split view of the analysis results enables users to compare multiple analyses directly.

Minitab 19 with CART Minitab 19: Split View for comparing multiple Analysis

New statistical features for DoE (Design of Experiments), stepwise regression and normal capability facilitate more complex data analyses significantly.

Due to the new 64-bit version and enhanced algorithms, Minitab 19 outputs results faster and analyzes larger datasets than ever before.

Simplified workspace, structured logically

Minitab 19: Simplified, logically structured workspace
  • New navigator
  • New output window including events and visualizations
  • Fast switching between worksheets by tabs
Minitab 19: Simplified, logically structured workspace

More commands for updating results automatically

Minitab 19: Automatically updated results
  • In addition to graphical outputs and control charts, graphical summary, Pareto charts, capability analysis and normal probability plot can be updated automatically now.
Minitab 19: Automatically updated results

Improved modelling – model selection criteria

Minitab 19: Improved modelling – model selection criteria
  • New method "forward information criterion"
  • Stepwise model selection for regression, variance analysis (ANOVA) and DoE (Design of Experiments)
  • AICc (Akaike information criterion) & BIC (Bayesian information criterion)
Minitab 19: Improved modelling – model selection criteria

Binary response variables for DoE

Minitab 19: Binary response variables for DoE
  • Analyze data from binary response variables (e.g. good/bad) by using a design
    • can be used with factorial, screening and response surface designs
    • response optimization can contain continuous and binary response variables
Minitab 19: Binary response variables for DoE

Improved process capability (normal)

Minitab 19: Improved process capability (normal)
  • Confidence intervals for further parameters
  • Optimized method for calculation of lower limit for Z.Bench
  • New global option for showing PPM or % and KIs
Minitab 19: VImproved process capability (normal)

Resampling/Bootstrapping/Randomization Test

Minitab 19: Resampling/Bootstrapping/Randomization Test
  • Calculate confidence intervals
  • Perform hypothesis tests for statistics without assuming a distribution
Minitab 19: Resampling/Bootstrapping/Randomization Test

Better Predictions

(Minitab 19.2020.1)
Minitab 19.2020.1: Minitab with CART®

Unlock a better, more robust analytics toolkit that will expand your decision-making capabilities, proactively improve your process to achieve better results and avoid costly mistakes with the addition of our predictive analytics tool: Classification and Regression Trees (CART®). As one of the most popular and useful prediction tools, CART® is now available in a fast and ease-to-use format within Minitab so you don't need to be a data scientist to use it.

Minitab 19.2020.1: Minitab with CART®

Faster Model Building with Validation

(Minitab 19.2020.1)
Minitab 19.2020.1: Faster Model Building with Validation

Assess accuracy of your Regression models fast with validation. Effortlessly resample or partition your data into test and training sets with speed, then evaluate your model prediction accuracy faster than ever. Includes Regression and Binary Logistic Regression.

Minitab 19.2020.1: Faster Model Building with Validation

Easier Integration

(Minitab 19.2020.1)
Minitab 19.2020.1: Easier Integration

Unite Python scripts with your Minitab data and analysis easily within Minitab Statistical Software thanks to open source integration. Capitalize on the ability to expand and further explore your analytical possibilities in the interface or with a macro. Collaborate with data scientists to solve even more problems, easier with Minitab.

Minitab 19.2020.1: Easier Integration

Enhancing Multi-Vari chart under Quality Tools

(Minitab 19.2)

It is a popular tool for Minitab users to visualize different sources of variations, particularly for evaluating measurement systems.

This chart to visualize variability can be used in any applications with a response variable and multiple factors as exploratory variables. This command allows users to produce a nice Multi-Var Chart up to 8 factors. Gageaiag and Gagegeneral sample data sets can be help you to familiarize yourself with this command.

The new Multi-Vari chart will be easier to interpret.

Minitab 19.1: Multi-Vari chart Multi-Vari chart in Minitab 19.1
Minitab 19.2: Multi-Vari chart Multi-Vari chart in Minitab 19.2

Stability Study improvement

(Minitab 19.2)
Minitab 19.2: Stability Study improvement

When two specification limits are entered in Stability Study Command, users will now have the option to calculate the shelf-life of a drug with one spec limit and to utilize the other spec limit for displaying only.

This new feature should be used frequently by pharmaceutical organizations. In the pharmaceutical industry, even if people have two spec limits, for many drugs, they have knowledge about whether the response values are increasing or decreasing overtime.

With this additional information, only one spec limit should be used to calculate the shelf-life.

Therefore, it is helpful to provide a checkbox in the Options sub-dialog for user to select employing one spec limit to calculate the shelf-life for this two-specification limits scenario.

Minitab 19.2: Stability Study improvement

Sample size added to the Correlation table

(Minitab 19.2)
Minitab 19.2: Correlation Table with Sample Size

This design update to the correlation command will provide a better experience for users to easily interpret the results of their correlation analysis.

The enhancements include:

  • Providing confidence intervals for Pearson and Spearman correlations
  • Adding a matrix plot with the option to display correlation statistics such as point estimates, p-values for tests of zero-correlation, and confidence intervals for correlation.
  • Providing a better table to display the analysis results with the ability to adjust the number of decimal places.
Minitab 19.2: Correlation Table with Sample Size

Pareto chart non-defaulted in Regression update

(Minitab 19.2)
Minitab 19.2: Pareto chart non-defaulted in Regression update

To help users clearly visualize your results, Regression now includes an optional Pareto to show significant effects.

Minitab 19.2: Pareto chart non-defaulted in Regression update

Other useful features

  • Improved editing of graphs and marking
  • Improved assistant for hypothesis tests
  • Matrix plot for correlations
  • Regression: Pareto charts of effects

Performance improvements & other new features

  • 64-bit version available for Windows
  • Open Excel files considerably faster, return results twice as fast and plot graphs five times faster
  • New file format with new file extensions
  • Minitab for MacOS (slightly limited functionality)