So to solve this question let's use the following table:
In this case

is not A
and

is AandB
So let's apply as the first step number 5 of the table

Now for the numerator let's apply 3 and for the denominator apply 1
![\frac{P(B\operatorname{\cap}\bar{A})}{P(\bar{A})}=(P(B)-P(B\cap A))/(1-P(A))]()
And we replace the probabilities

Answer: P(B∣notA)=0.15