Bayes Theorem problem, from Finan #9.4: $P(A\mid B ∩ C)$

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The Problem:
You are given $\Pr(A) = 2/5, \Pr(A ∪ B) = 3/5, \Pr(B\mid A) = 1/4, \Pr(C\mid B) = 1/3,$ and $\Pr(C\mid A ∩ B) = 1/2$. Find $\Pr(A\mid B ∩ C)$.

My work:

I know that $\Pr(A\mid B) \Pr(B) = \Pr(B\mid A) \Pr(A) = \Pr(A \cap B)$ .

To solve the problem I need to solve $\Pr(A\mid B ∩ C) = \frac{\Pr(A \cap B \cap C) }{\Pr(B \cap C)}$

I worked out that $\Pr(B \cap C) = \Pr(C\mid B) \Pr(B) = 1/3 \cdot \Pr(B) = \Pr(B\mid C)\Pr(C)$

So, now I want to find either $\Pr(B)$ or $\Pr(B\mid C)$ & $\Pr(C)$.

Then, I found that $\Pr(A \cap B \cap C) = 1/20$ by working out that $\Pr(C\mid A \cap B) = \frac{\Pr(A \cap B \cap C) }{\Pr(A \cap B)} = 1/2$

I've been trying to go further than this, but end up with no new information. I'm not sure how knowing $\Pr(A ∪ B) = 3/5$ would help. Any suggestions?

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From the given info, you can find $P(A \cap B)=\dfrac{1}{10}$ and hence $P(B)=P(A \cap B)+P(A \cup B)-P(A)=\dfrac{2}{10}$. Now you can find $P(B \cap C)$.

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One may write $$ P(A\cap B)=P(A)\cdot P_{A}(B)=\frac25\times\frac14=\frac1{10}. $$ From $$ P(A\cup B)=P(A)+P(B)-P(A\cap B) $$ one gets $$ P(B)=P(A\cup B)+P(A\cap B)-P(A)=\frac35+\frac1{10}-\frac25=\frac3{10}. $$ One has $$ P(A\cap B \cap C)=P(A\cap B) \cdot P_{A\cap B}(C)=\frac1{10} \times \frac12=\frac1{20} $$ and $$ P(B\cap C)=P(B)\cdot P_{B}(C)=\frac3{10}\times\frac13=\frac1{10}. $$ Finally,

$$ P_{B\cap C}(A)=\frac{P(A\cap B \cap C)}{P(B \cap C)}=\frac{\frac1{20}}{\frac1{10}}=\frac12. $$