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Numbers to think about
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July 29th 06, 11:54 PM posted to rec.bicycles.racing
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Numbers to think about
"CowPunk" a écrit dans le message de news:
...
Let's assume that the labs and their tests are 99% accurate.
The UCI did around 12000 tests last year, and about 380 came back
positive. These are just rough numbers off the top of my head.
It worked out to around 3.8% of all tests came back positive.
So, if you take that 99% accuracy number and apply it,
you end up with roughly 1 out of 3 positives due to bad testing.
???
Tell it again ....
It is not the way I learned math ; )
If the test are 99 % accurate (positive or negative) so 1 % (positive or
negative) are not.
If 380 came back positive and 1 % are not accurate, it is to say that 3.8 ,
let say 4 are not.
1.05 % are not accurate, it is to say 4 out of 380
Where you 1 of 3 comes from ?????
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