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DR. HAUCK:  Yes and no, I guess.  You've got four statisticians in the room, so you'll get 15 different opinions on this one.

Normal theory tolerance intervals can be a problem if you deviate too far from normality and that's what you just saw in Dr. Olsson's presentation, and so we always know when we do parametric methods that you can find some situation that makes it a bad thing to do, but you then have to ask, well, what situations are reasonable and plausible to worry about here, and that part of it, I can't answer.  I could turn it over to Don and Bo at that point.  And then you'd want reasonable confidence that the alpha level is at least close to 5 percent on reasonable, plausible alternatives to normality.

DR. TSONG:  Could I answer the question, too?  I think if we go back to the original one, which is the statistical paper that proposed the tolerance limit, I think currently used and maybe a little bit modified ‑‑ but the original work shows that if you use the original tolerance limit, that really the approach is slightly conservative, which means if we say 5 percent have

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