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
- :
- Discussions
- :
- Extra Paramaters in "Sample Size & Power - K Means...

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
- Permalink
- Email to a Friend
- Report Inappropriate Content

Sep 21, 2016 7:57 AM
(1570 views)

Hello,

I am displaying the input necessary for the script:

I see that if I was performing a One-Way ANOVA that I would simply place the means of each of setting of X1 in the boxes.

e.g.

Temperature (X1) : [ 90, 100, 110, 120]

I would input the average response at Temperature 90, 100, 110, 120 into the boxes. Let's say the average response was 9, 10, 11, 12.

However, what does the Extra Parameters represent? Would this be if I had two factors instead of a one factor ANOVA?

Thank you,

Nate

1 REPLY

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Permalink
- Email to a Friend
- Report Inappropriate Content

Sep 26, 2016 6:49 AM
(1463 views)

I've used the Extra Parameters when I have a blocking situation, such as a Randomized Complete Block Design (RCBD). For instance, in your scenario, if you wanted to see the power when you have 32 runs, but it is run across 8 days, where day is your blocking factor, then you would enter 8 in the Extra Parameters box.

The power will be slightly lower, since you'll have fewer degrees of freedom for your error term. But if the RCBD reflects your situation, then it's always a good idea to match your sample size and power calculations with the type of analysis you'll use.