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
- :
- Nonparametric Tests: Kolmogorov Smirnov test for v...

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

Jan 3, 2017 2:39 PM
(1948 views)

Hello:

I have multiple (large data) distribution that I have already tested the means and determined that they are the same and roughly zero. This is what I expected based on subject expertize. Two of the distribution have larger variations than my other distribution. I see this graphically and based on the summary statistics. I want to be more formal and test for differences in the variances. I was thinking of doing Kolmogorov Smimov testing; however, I could not figure out how to do this for my 12 distributions simultanously. Should I even be using the KS test for this purpose? I do not want to be tied to normal distribution testing. Suggestions are appreciated.

Rob

1 ACCEPTED SOLUTION

Accepted Solutions

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

Jan 3, 2017 4:56 PM
(3811 views)

Solution

Generally speaking, the non-parametric tests help you decide if two or more populations are different with regard to **any** parameter. They are not specific to a **particular** parameter, as are tested with the parametric tests.

Learn it once, use it forever!

3 REPLIES

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

Jan 3, 2017 3:31 PM
(1939 views)

JMP provides several statistical tests for comparing the variances between multiple groups. Under Fit Y by X (oneway), you can select "Unequal Variances" from the red triangle, and JMP will provide a list of stats that will give you a better option than KS for testing the variances.

Jim

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

Jan 4, 2017 5:15 AM
(1909 views)

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

Jan 3, 2017 4:56 PM
(3812 views)

Generally speaking, the non-parametric tests help you decide if two or more populations are different with regard to **any** parameter. They are not specific to a **particular** parameter, as are tested with the parametric tests.

Learn it once, use it forever!