wooo..hold up. your first example has me seriously confused. maybe I should just go to bed

. What's confused me is the percentage you gave of the positive error. Why would that be wrong?
you just told me 95% of the people who test positive have this disease. That there is only a 5% of error.
Given that percentage, if only 1/1000 people actually have the disease, wouldn't only 1.05 people test positive? Or to make it a whole number of human beings, only 21 people out of 20,000 will test positive. With a 5% error, meaning 20/20000, or 1/1000 actually are sick?
I mean..its one thing to talk about the percentage of people who have the disease. It's one thing to ask what is your percentage of having the disease, or your chances of testing positive. Which is what, like (.105%)?
Its a whole different question that once you test positive, that your chances jump up to 95%. Regardless of the population, because its simply a 5% test error, having nothing to do with how many people actually get sick???
at least that's how I understood the problem. I would still answer 95%, because I am assuming the error of the test is technical, having nothing to do with how many test positive in the total population (.105%). But rather, how many who test positive who actually are............which you told me.......95% o_o .....or .1%
am I missing something?
seriously
you can yell at me
I haven't taken a math class in years
otherwise I understand how problematic percentages can be. but its the wording that you have to be careful of. I mean, I understand if 20% of the population has a disease, it doesn't mean that is also your chances.
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