turn on suggestions

Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type.

Showing results for

- JMP User Community
- :
- Discussions
- :
- How to account for within-run response estimate va...

Topic Options

- Subscribe to RSS Feed
- Mark Topic as New
- Mark Topic as Read
- Float this Topic for Current User
- Bookmark
- Subscribe
- Printer Friendly Page

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Apr 16, 2015 11:57 AM
(340 views)

I am planning experiments on a process that produces parts in batches.

Let's say I have a 2 factor, 2 level full factorial. There will be a batch of each part produced under one of the 4 condition runs.

To determine the mean response for each run I will randomly select N parts from the batch for testing to determine mean and SD.

My mean response values will be used to evaluate effects but how does the SD (or variance) of my testing sample size N enter into the overall estimation of the effects, i.e. how does it affect prediction variance? It's not clear to me how this is worked into the Evaluate Design platform in JMP.

Note this particular instance expectation is that the variance will be relatively constant over the design region and can be estimated before hand. Testing of individual parts is destructive.

2 REPLIES

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Apr 17, 2015 7:10 AM
(220 views)

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Apr 20, 2015 11:53 AM
(220 views)