cancel
Showing results for 
Show  only  | Search instead for 
Did you mean: 
  • Learn how to build custom Python data connectors and further customize JMP’s Data Connector Framework with the Python Data Connector Demo, available now in the JMP Marketplace!
  • See how to create experiments to support product design and ID useful product features. Register for June 12 webinar, 2pm US Eastern Time.

Discussions

Solve problems, and share tips and tricks with other JMP users.
Choose Language Hide Translation Bar
rajesh
Level II

Homoscedasticity of data using Cochran C test in JMP

How to evaluate Homoscedasticity of data  by using Cochran C test in JMP?

1 ACCEPTED SOLUTION

Accepted Solutions

Re: Homoscedasticity of data using Cochran C test in JMP

3 REPLIES 3

Re: Homoscedasticity of data using Cochran C test in JMP

A quick way to check for a statistic or model is to select Help > Statistics Index. The items are listed alphabetically and you can jump to a group of items starting with a particular character by typing that character. Cochran's C test is not available.

 

The Wikipedia entry for Cochran's C Test shows that this computation is pretty straight-forward so you could compute it by hand or with a script.

 

Note that JMP provides other tests for homoscedasticity in the Oneway platform. Select Analyze > Fit Y by X. Assign your data columns to the Y and X roles and click OK. Click the red triangle and select Unequal Variances.

rajesh
Level II

Re: Homoscedasticity of data using Cochran C test in JMP

Thanks, Followed the steps you mentioned but unable to see Unequal variance option by clicking red triangle. Please suggest.

Re: Homoscedasticity of data using Cochran C test in JMP

Capture.JPG

Recommended Articles