Dear Community,   Hope everyone's staying healthy.   I have 3 factors and 15 responses. I was using the Profiler feature, set Maximize Desirability. However the Desirability value was Zero.   Did some troubleshooting and I found out if I opt out Response#12, then Desirability is not showing Zero anymore. Any idea what is happening here?   Below shows when Profiler include Response#12, the Maximize Desirability was at Zero.   When Response#12 was removed, the Maximize Desirability was back to non-zero value.   Thanks for advise.   B.r, Chris ... View more

Dear JMP Communities,   I have data that are count/space.   In my case, (number of events occured / time). As such, it is naturally I would fit these data using Discrete Fit > Poisson.   Afterwards, JMP produces the fitted Poisson with results of Upper/Lower 95% Confidence Interval per below photo.               My question is : How do I get Upper/Lower 95% Prediction Interval?   Thanks for the pointer.   B.r, Chris ... View more

Dear JMP Community,   I am trying to evaluate the Power & Sample Size for Testing Two Means. Above is the platform I used to evaluate this.   My question: How should I input for Stdev? I understood it should be from historical data.   However, because I have 2 group of data (hence Testing for Two Means), which stdev data should I input? For example, the descriptive statistics for these 2 groups of data could be like: Group 1 Data : Mean1 and Stdev1. Group 2 Data : Mean2 and Stdev2.   Should I input Stdev1 value, or Stdev2 value?   or   Should we input stdev based on whether the Variance is equal or not? If Equal Variance, the Stdev would be calculated as:     If Unequal Variance, the Stdev would be calculated as:     For your advice. Thanks.   B.r, Chris Looi                                   ... View more

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 ... View more

Hello,   Let's say I have: Factors : A, B, C Responses : Y1 , Y2   If I use Fit Model Personalities : Standard Least Square. Then the model for example provide : Effect Summary that shows the effects of terms of factors vs both response Y1 and Y2 (in one summary).   However, if I use Fit Model Personalities : Stepwise. Then, the JMP provide me individual Effect Summary for each response Y1 and Y2. Meaning, I get two effect summary here. One for Y1 , and one for Y2.   In the case of Standard Least Square, I get only one Effect Summary (which I assume is for combination of Y1 and Y2 responses).   My questions:   1. Both method in the end will provide a Profiler, but they are both different (for sure). Which is more accurate or should we follow?   2. Is there a way for Stepwise to provide one single Effect Summary that consist the whole effect terms vs all responses?   Thanks.   B.r, Chris ... View more

Dear JMP Community,   Let's say JMP returned me a LOF test results.   If I wanted to know how strong (or power) of that test to detect LOF, are there any indicator to this?   Thanks.   B.r, Chris ... View more