Should I include water as a component in my mixture design?
Original question from a Principal Scientist:
“I want to vary 5 active ingredients dissolved into water for in my mixture design. Should I include water as a component when setting up this experiment?”

Answer from Stat-Ease Consultant Shari Kraber:
“In mixture designs, the important relationship with the responses is how the changing proportions of the ingredients effect the response. Water is part of those proportions in your formulation, so it should be part of the design.”

As a chemical engineer, I like Shari’s advice. Allowing water (or whatever you deem “inert”) to vary makes the mixture design far more effective by, in essence, allowing the total of the active ingredients to vary. By the way, simply enter the inert component(s) last with a range from zero to your total. Stat-Ease software then will work out what the limits must be. Smart! - Mark
 

Being a principal of Stat-Ease since our beginning in 1982, I am very enthused to see the landmark release of Stat-Ease 360 (SE360), which provides significantly more statistical functionality while maintaining the same awesome interface as Design-Expert (DX).

SE360’s Python scripting tools make it easy for high-level data analysts to write automated scripts and custom code, thus combining the power of this high-level programming tool with DX’s outstanding capabilities in one seamless workflow.

For those doing R&D with the aid of simulations, SE360's new Latin hypercube and optimal space-filling designs provide a welcome option to more traditional layouts for non-deterministic experiments. Gaussian process models complement these new computer-experiment designs.

Furthermore, SE360 expands the logistic regression tools introduced in DX13 with a classification node that includes ROC curve plots and other graphical assessments for binary outcomes.

For all the technical and licensing details on SE360, click here.

On December 8, Shari Kraber will provide a briefing on “How Many Runs Do I Need? Using Power and Precision to Size DOE's.” Follow this registration link to sign up at no charge for this valuable presentation.
 

You can do no better for quickly advancing your DOE skills than attending a Stat-Ease workshop. Our expert instructors provide you with a lively and extremely informative series of lectures interspersed by valuable hands-on exercises. Enroll early to ensure your spot!

• Mixture Design for Optimal Formulations
  • December 6-9, 4 half-days online, $895 (Registration Deadline Dec 1)
  • February 14-17, 4 half-days online, $945
• Modern DOE for Process Optimization
  • January 24-28, 5 half-days online, $945

See this web page for the complete schedule of upcoming Stat-Ease courses. To enroll in the workshop that suits you best, click Register on that webpage, or click here to contact us.
 

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