Did this come up on the real UMAT?
Let's say there's 1000 people, each with a 50% chance of having diabetes and each with 25% chance of having asthma
which is more likely
a) 125 people have diabetes and asthma
b) less than 500 people have diabetes
Because of sampling errors, having EXACTLY 125 people with diabetes and asthma is LESS likely than 1000 people having diabetes IMO.
Am i reading too much into this?
Should you assume that the percentages are theoretically perfect and not randomly account for sampling error?
2)
Should you take into consideration that if there is a 50% chance of having diabetes and a 25% chance of having there is a less than 75% chance of having one of diabetes or asthma IF you are just comparing the likelyhood of one or the other to the likelyhood of one of another 2 options?
e.g.
what has a higher likelyhood
a random person with asmthma or diabetes
or
a random person with obesity (40%) and diarrhea (50%)
Is it OK for these relative comparisons to just add the percentages?
When in general can you just add percentages and when should you multiply individual chance?
thanks
