Power Analysis in Design Evaluation (DOE)

[#1]

Hi,

Under the Design Evaluation (after the DOE is created), there is a tab called Power Analysis per below photo.

I understood the Power represents the probability of detecting a significant effect (if there is). For example here, this design have a probability of 57.2% to detect effect of X1 if it is a significant effect.

My questions:

1.  Understood the Coefficient is the "slope" or effect strength on the response. This is represented under column Anticipated Coefficient. Why does this value is being put as default "1" ?

2. For example, if I were to change X1 Anticipated Coefficient from "1 to 2", the Power will jump from 57.2% to 98.4%. Am I correct to say, if X1 slope is "2" then this design have the probability to detect this effect at 98.7%?

3. Does the Power Analysis takes into account the Scaling Factor? Having a slope of 0.0002 doesn't mean there aren't any strong correlation between Y and X.

For example : The X-axis data is recorded in nanometer instead of meter.

Thanks for advise.

B.r,

Chris Looi

[#2]

Go to this link:

https://www.jmp.com/support/help/14/power-analysis.shtml

scroll down to the Power Analysis for Coffee Experiment

It explains the interpetation of the values.

[#3]

Chris, Just checking to see if this helped you sort out your question?