thanks, but I meant this:
if 6600 were tested out of 909,000 and it showed for example that 1% had it
how close to being accurate would that be for the entire population?
the margin of error - it could really be for example from .7% to 1.3%
I was curious about how the math is done to figure that out - and what the margin of error in this case would actually be
I think when they do it for election polls they go to 2 standard deviations out - of course, it's not 100% accurate - it could be 3 or 4 standard deviations away, but very unlikely