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- How can I calculate Pooled Variance Estimate in JMP?

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Nov 29, 2018 6:33 AM
(3844 views)

Hello JMP Community,

How can I calculate Pooled Variance in JMP?

I am hoping, as with all things JMP, this exists and I have just not found the magic pathways to produce the desired results quickly and efficiently. I can of course do this by going through the actual maths myself, but I have frequently run into this situation so it would be great to learn if this already exists in JMP.

I have a data set that is grouped by process conditions which have differing means as a result of process centering (tuning) activities. I would like to generate a pooled variance estimate for this process for use in specifications/capability estimates in support of this new process launch. My total run count is rather low so for initial process variability/capability discussions I would like to do this to increase my N count.

Technical Situation

- Process 1 Condition A, was running at lower end of our desired process window [n=8]

- Process 1 Condition B, changed our tuning lever to center the process (new) to the desired target [n=10]

- The process change resulted in a mean shift, but did not change the process variability (and fundamentally was not expected to)

- I would like to generate the "Pooled Variance" estimate for the P1CA + P1CB

- As this is a new process, my data set is limited, so the desire is to use this to enable a increase n count during initial capability discussions

This is the simply case. I have much more complex cases but they all follow this same scenario where variance is unaffected when a lever was pulled to create a mean shift.

Thank You,

WanderedProcess

***sorry if a thread exists detailing this. I did try searching key terms I am familiar with. =-] ***

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- Pooled Variance

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If you only have 2 groups, can't you just do the One-way Analysis in Fit Y by X (red-arrow > Mean/ANOVA/Pooled t)? The Mean Square Error (MSE) is the pooled variance estimate. You can grab that from the ANOVA table or by squaring the RMSE in the summary.

-- Cameron Willden

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If you only have 2 groups, can't you just do the One-way Analysis in Fit Y by X (red-arrow > Mean/ANOVA/Pooled t)? The Mean Square Error (MSE) is the pooled variance estimate. You can grab that from the ANOVA table or by squaring the RMSE in the summary.

-- Cameron Willden

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Re: How can I calculate Pooled Variance Estimate in JMP?

Thank You very much. I knew it was hiding in there somewhere!

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