Statistical FAQs

Why does my output from JMP differ from that of PROC GLM's output?

Differences comparing PROC GLM from SAS to JMP occur when you have unequal cell sizes or random effects. This is due to the different parameterizations and the two algorithms used to calculate the statistics. JMP's algorithm is computationally more efficient, but GLM's is more general. Both are correct, just different. To answer any comparison questions, refer to the secion "Singularities and Missing Cells in Nominal Effects" in Appendix A of the JMP Statistics and Graphics Guide.

FAQ # 462
Last Updated: 2002 Nov 22

Browse JMP FAQs

General FAQs

Statistical FAQs

Support Documents

JMP FAQs

Knowledge Base

System Requirements

Alphabetical List of Features

Known Issues

Contact JMP Support

Report a Problem

Update a Report

support@jmp.com

919.677.8008 (US)

International Support via Worldwide SAS Offices