Dennis Roberts wrote:

> the term 'null' does NOT mean 0 (zero) ... though it is misconstrued that
way
> the term 'null' means a hypothesis that is the straw dog case ... for
which
> we are hoping that sample data will allow us to NULLIFY ...
> in some cases, the null happens to be 0 ... but in many cases, it does not

    It always means that _something_ is zero - as does just about any other
algebraic or mathematical expression, after a little rearrangement into
something logically equivalent . Moreover, in cases in which the null
hypothesis has any prior credibility - as should always be the case - that
"something" (eg, amount by which the IQ of the subject population differs
from the standardized value of 100) is usually a sensible thing to study.
And that thing can usually be thought of as "effect size".

    In the classic student blooper cases: "H0: mu = x bar"  and "H0: mu
equals the nearest round number to x bar" it isn't: and those tests should
not be done.

    -Robert



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