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 non-smokers. Results of the study showed that light smokers were twice as likely as non-smokers to die during the five-year study, but only half as likely as heavy smokers. Calculate the probability that a participant was a heavy smoker if the participant died during the five-year study.
I tried this using Bayes' theorem
We need to find $P(H|D)$ where $H$ is the event that the participant is a heavy smoker, $N$ a non-smoker, and $L$ a light smoker.
It is given that $P(H)=0.2,P(L)=0.3,P(N)=0.5$
$$ P(D|L)=2P(D|N)=0.5P(D|H), (1)\\ P(D|L)+P(D|N)+P(D|H) = 1 $$
$$ P(H|D)=\dfrac{P(D|H)P(H)}{P(D|N)P(N)+P(D|L)P(L)+P(D|H)P(H)}, (2) $$
Substituting equation $(1)$ in equation $(2)$ simplifying and plugging in values I got $P(H|D)=0.26$, whereas the answer in my textbook is 0.42.
Where did I go wrong?