We generally don't compute a confidence interval on the omnibus null hypothesis because
A) it is not clear what it would mean if we could do so.
B) we don't know how to do so.
C) it does not address the questions we are likely to want to answer.
D) all of the above

Question

Quizplus · Accepted Answer

The omnibus null hypothesis typically involves multiple parameters or aspects of a model simultaneously, making it complex to interpret what a confidence interval would represent (A), and it's not straightforward how one would compute such an interval due to this complexity (B). Moreover, the omnibus null often doesn't directly answer the specific questions researchers are interested in, which are usually about specific parameters or relationships within the data (C).

We Generally Don't Compute a Confidence Interval on the Omnibus