Conditional probability or intersection? A health study tracked a group of persons for five years. At the beginning of the study, 20% were classified as heavy smokers, 30% as light smokers, and 50% as nonsmokers. Results of the study showed that light smokers were twice as likely as nonsmokers to die during the five-year study, but only half as likely as heavy smokers. A randomly selected participant from the study died over the five-year period. Calculate the probability that the participant was a heavy smoker.
If I let H = heavy smoker, L = light smoker, N = nonsmoker, D = died over 5-year study. I know I have P(H) = 0.2 P(L) = 0.3 P(N) = 0.5 But for the next probabilities, I don't know if I should be writing: P(D∩L) = 2 P(D∩N) = 1/2 P(D∩H) or: P(D|L) = 2 P(D|N) = 1/2 P(D|H) Is there a way to know if it's a conditional probability, or an intersection?
|dw:1401908255192:dw| In the above probability tree, x is the probability of a non-smoker dying during the study. The probability that the randomly selected participant who died was a heavy smoker is given by: \[P(heay\ smoker)=\frac{0.8x}{0.8x+0.6x+0.5x}=\frac{0.8x}{1.9x}\]
ah thank you so much!
You're welcome :)
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