> You might look at what is meant  by a 95% confidence interval in
 > scientific studies. Statistics 101.

You're right Bill.  I was reading too quickly.  Bad examples.

However, there is an issue confidence intervals when they are employed 
as a device to convince readers that the work makes sense.

The real issue is that too often the conditions in samples and 
populations for producing honest confidence intervals are simply not 
there, or simply assumed with a wave of the hand.

If any aspect of a proof lies upon and assumption, it is only as good as 
the underlying assumptions, and many question the assumptions.

Will you let me get away with this?


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