Minitab Statistical Software was developed especially for data analysis in quality management. It enables processes to be realistically evaluated and, if necessary, improved in a resource-saving manner. Measurement system analysis, statistical process control, reliability analysis, statistical modeling and data mining are just a few of the technologies available.
Consisting of "Minitab Desktop" for PC installation and the "Minitab Web App" with access via cloud, the hybrid application is suitable for both beginners and advanced users and impresses with its comprehensive range of statistical methods and graphical tools.
The interactive "Graph Builder" is particularly useful when visualizing data. Available graph alternatives are displayed in a clearly laid out Graph Gallery. You can switch between these alternatives seamlessly. This means that different graphs based on the same data can be viewed and tested.
The Predictive Analytics module extends the CART technologies to include the tree-based algorithms for machine learning TreeNet® and Random Forest®, as well as MARS®. Compared to linear models, predictive methods can map non-linear relationships very well, save time and are easy to interpret. Automated Machine Learning (AutoML) supports the selection of the most suitable model.
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