Earlier quoted context omitted.
I don't think that's the right way to look at the graph. It says that out of 100k 15-24 yr olds 74 died, and also out of 100k 85-1xx yr olds 13k died. This is purely a measure of death rates and doesn't take the age distribution into account. to get the probability of dying before 50 you have to look at the total number of deaths/pear, distributed by age: https://www.statcan.gc.ca/pub/91-209-x/2013001/article/11867..…
>It says that out of 100k 15-24 yr olds 74 died, and also out of 100k 85-1xx yr olds 13k died. Yes, which is why I took the sum of those numbers for ages 25 to 50. >the area under the curve for 0->50 looks about 1/10 of the overall, so I'd say the op is about right You're describing the conditional probability that, given you have died, you are under the age of 50.
this means that out of 100k 25-50 yr olds 726 died during 2016. This is the probability that you will die during this year, given that you are a 25-50 year old, which is different from the probability that you will die before the age of 50. (the prior number ignores the cumulative probability that you have died as a Given that all of us will die, the only question is the age at which we die. The conditional probability that, given you have died, you are under the age of 50 is exactly what we should be looking at.