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JMP Wish List

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We consider several factors when looking for what ideas to add to JMP. This includes what will have the greatest benefit to our customers based on scope, needs and current resources. Product ideas help us decide what features to work on next. Additionally, we often look to ideas for inspiration on how to add value to developments already in our pipeline or enhancements to new or existing features.

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Add superiority test to oneway analyses indicating the probability of being superior by different margins.

Status: New Submitted by Super User (Alumni) on ‎10-06-2021 10:34 AM
Comment

Add a test to produce p values of superiority tests at a range of distances and output those to a table or graph as shown below.

 

ih_1-1633695166276.png

Consider a trial where a process change is made.  Results are compared with current performance and a t test determines that the process was improved (the mean shifted) with a p-value of 0.05 and a superiority test in JMP 17 indicates that the mean shifted by at least 0.01 with a p value of 0.12, but neither tells a whole story.  To make an informed decision, we would want to know information like:

  • 5% chance the process stayed the same or got worse
  • 90% chance the process improved by at least 0.01
  • 50% chance the process improved by at least 0.006
  • 5% change the process improved by at least 0.011

Here is a post with two potential methods of calculating these values:

Compare means test: graph probability by difference in means