Tutorials

The tutorials and their data files are also available within Stat-Ease via the Help menu.

The One-Factor Categoric tutorial is the best place to start for new users of the program.

For users interested in Response Surface Methods, the Multifactor RSM tutorial is a good place to start.

The Mixture Designs tutorial is recommended for all formulators to learn about the fundamentals of mixture design in Stat-Ease.

Tutorials	Data File
One-Factor Categoric	`bowling.dxpx`
One-Factor Categoric Pt. 2	`bowling.dxpx`
Multilevel Categoric	`battery.dxpx`
Multilevel Categoric Pt. 2	`battery.dxpx`
Two-Level Factorial	`filtrate.dxpx`
Foldover Designs	`biker.dxpx`
Split-Plot Two-Level Factorial	`PCR.dxpx`
Split-Plot General Multilevel-Categoric Factorial	`pulp.dxpx`
One Factor RSM	`drive.dxpx`
One Factor RSM Pt. 2	`drive.dxpx`
Multifactor RSM	`rsm.dxpx`
Multifactor RSM Pt. 2	`rsm-a.dxpx`
Multifactor RSM Pt. 3
RSM Split-Plot	`airfoil.dxpx`
Mixture Designs	`mix.dxpx`
Mixture Designs Pt. 2	`mix-a.dxpx`
Optimal Numeric	`wheat.dxpx`
Combined Mixture-Process	`fish.dxpx`
Optimal Categoric	`peel.dxpx`
Historical RSM	`longley.dxpx`
Historical RSM Pt. 2
Combined Split-Plot	`lady-baltimore.dxpx`
Logistic Regression	`sam-firing-tests.dxpx`
Logistic Regression (Mixture)	`polymer-column.dxpx`
Poisson Regression	`antiseptic.dxpx`
Modify Design Space	`reactive-extrusion.dxpx`
Tutorials (Stat-Ease 360^® Only)	Data File
Gaussian Process Models	`gas-station.dxpx`
Python Introduction	`multiple-plots.py`
RSM with Random Blocks	`shear-strength.dxpx`