A Crash Course in Mixture Design of Experiments

[@tafadzwankhoma1533]

the triangle at 11:34, is it generated in DX or you plotted it in another App/Software separately.

[@StatisticsMadeEasybyStatEase]

The graphic originated in DX and was modified for the presentation.

[@gunawansolo6513]

What does it mean when a coefficient of a component in optimal design model equation is negative while the response only takes positive value? My understanding is that the coefficient is the response value of the component when it is pure (100%), so it can't be negative.

[@StatisticsMadeEasybyStatEase]

Sorry it took so long to see this! Please send this inquiry to our StatHelp group: www.statease.com/about-us/contact/contact-support/

[@tafadzwankhoma1533]

Thank you for the recording. What is the relationship between Design Expert and StatEase 360. Can one use Stat-Ease 360 to completely design and analyse experimental data without Design Expert or StatEase is a build up on Design Expert

[@StatisticsMadeEasybyStatEase]

Stat-Ease 360 includes Design-Expert software, and also has higher-level features such as linkage to Python and additional regression options.

[@iMistroom]

I'm going to have mixture component of A, B and C. A+B+C = 100% and the ratio of A/B must maintain at 0.5. How do I set the constrain since I can't enter both lower and upper limit with the same value.

[@StatisticsMadeEasybyStatEase]

This imposes an extra equality constraint. The level of A is dependent on the level of B. Now there are only 2 components that vary, but all 3 are involved in the total 100%. Short answer - there is not an easy way to get this done.

[@abiolaadebanjo4759]

Such an insightful presentation