In order to calculate P(B|A), that is, the probability of B given A, we can use the following formula:
![P(B|A)=(P(B\cap A))/(P(A))](https://img.qammunity.org/2023/formulas/mathematics/college/iclsyv9wg1hn9cw06r6oaz5j1h823t0uyh.png)
Since the events are independent, we also have the following:
![P(B\cap A)=P(B)\cdot P(A)](https://img.qammunity.org/2023/formulas/mathematics/college/sgqjhf0os7dqblfw6glptctlipjg31dsm7.png)
So we have that:
![\begin{gathered} P(B|A)=(P(B)\cdot P(A))/(P(A)) \\ P(B|A)=P(B) \\ P(B|A)=0.36 \end{gathered}](https://img.qammunity.org/2023/formulas/mathematics/college/djj2y5o0clz1wqcd0xyfn0h1xj46ee4gfj.png)
So the probability of B given A is 0.36.
(The probability of B given A being the same probability of B makes sense, since the events are independent, so A happening does not affect B)