The correct way to do this analysis is to use the "Fit Model" analysis.
Put "Response" in the Y role and put "Lot" in the Effects role. Now,
highlight "Lot" in the effects box and select the red "Attributes" arrow.
With this "Attributes" menu, select "Random Effect". This will change the
effect from "Lot" to "Lot& Random".
Doing this will allow you to get variance components out.
Unfortunately, your data set seems to have much more variability within lot
than lot-to-lot.
Sincerely,
Martin Kane
Manager, Non-Clinical Statistics
Human Genome Sciences, Inc.
240-314-4400 x3822
"Davern, Sean"
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t.wustl.edu Subject: [jmp-l] Simple
Variance Component Analysis
08/30/2005 03:42 PM
Please respond to jmp-l
Can anyone tell me how to get JMP to give a very simply variance component
analysis?
I'm trying to quantify lot-to-lot variability of a raw material. I've made
two independent measurements of 9 lots. I'd like to segregate the overall
variance into within lot variation (coming from run-to-run variation) and
between lot (lot-to-lot) variation. I'd like the total variance to be
reported as the two components.
Attached is the example data set.
<<Example Data.JMP>>
It seems like this should be very simple but I can't seem to get the
answer without doing the calculations by hand.
Thanks,
Sean
Sean Davern
Engineer III
Cell Sciences Process Development
Mail Stop AW2/D2152
Ext. 57074
(See attached file: Example Data.JMP)
Example Data.JMP
Description: Binary data
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