This question goes,
"According to a study, 4% of a population in a region have lung disease. Of those people without lung disease, 13% are smokers. Of those people with lung disease, 92% are smokers.
(a) If 20 people are randomly selected from the region, what is the probability that at least one of them has lung disease?
For (a) I tried to solve by using $\mu = np$ and $\sigma=\sqrt{npq}$, I got $\mu=0.8$ and $\sigma=0.4$. So to find at least 1 of them has lung cancer, I let $P(X \ge 1)=P(z \ge (\frac{1-0.8}{0.4/\sqrt{20}})=0.0125$. But from my lecture notes it says that to use $\mu=np$ it is only for approximating binomial distribution to normal if $n$ is large enough. However for this question, since they are asking "at least one of them has lung cancer", can I still use this? If not, another way I thought to solve this is to use sample proportion where $P(X \ge 1) = P(Z \ge \frac{0.05-0.04}{\sqrt{0.04 \times 0.96/20}} )$ where $0.05$ comes from $1/20$.