Interpretation of JMP results

MartinY — Wed, 22 Mar 2017 00:49:15 GMT

Hi Martin Yang here:

Recently I did a four ingredients Mixture design, I have some problem with the JMP results.

JMP provides normal plot which indicates which factor is significant. Below is the half normal plot generated by JMP.

As we can see, Alipre ( one type of cement), OPC ( ordinary portland cement), Alipre*OPC (interaction between the two cements), citric acid ( retarder) are significant factors.

However, if you read the Effects report listed below: Only Alipre cement and Alipre*OPC qualify as significant factors, since their P-Value is smaller than 0.05.

My questions is why there is discrapancy betwwen normal plot and Effects Report? which one tells me which factor is significant?

Thanks!

Martin Y

Re: Interpretation of JMP results

Chris_Kirchberg — Thu, 26 Jul 2018 19:02:40 GMT

Hi @MartinY,

I discovered that this post did not have a reply.

For the Half Normal Plot, significance is determined by a cutoff of 0.1 (take a look at the Contrasts table above it). The t-ratios are also based on simulations and calculated a little differently. See the documentation here:

https://www.jmp.com/support/help/14/lenth-t-ratios.shtml

For Sorted Estimates, the cutoff is 0.05 as you have noted and the t-ratios have a slighty different calculation. See the documentation here:

https://www.jmp.com/support/help/14/sorted-estimates.shtml

By the way, for mixture experiments, it is not recommended to use the half normal plot found in the Fit Two Level Screening Platform. Instead it is best to use the Fit Model platform given the factors must sum to a value and are not orthoginal to each other. See this link:

https://www.jmp.com/support/help/14/fitting-mixture-designs.shtml#105936

Hope this helps,

Chris

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Interpretation of JMP results

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