I was able to find out how many smoke neither cigars nor cigarettes as:
$P(E \cup F)$ is the event that someone smokes a cigar OR a cigarette
$P(E \cup F)^c$ is the event someone smokes neither
$(P \cup F)^c = 1-( P(E) +P(E) - P(EF))= .70$
The probability someone smokes cigars but not cigarettes could be $P(E \cap F^C)$ if I let E denote the event that someone smokes cigar and let F denote the event that a person smokes a cigarette, thus:
$P(E \cap F^C) =....$ I have no clue, this chapter two material over mutually inclusive-exclusive events and their formula and sample spaces with equally likely outcomes and the probability axioms 1-3. So if someone could explain the answer in those terms it would be great. So no Bayes formula although I think it could apply here, I would mind a side note or second part using Bayes method.