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Let $A$, $B$, and $C$ be events such that $P(A)=a$, $P(B\mid A)=b$, $P(B\mid A^c)=c$, $P(C\mid A\cap B)=d$, and $P(C\mid A^c\cap B)=e$. Suppose $C$ can occur only when $B$ occurs. Find $P(A\mid B\cap C)$.

  1. $\frac{abd}{abd+(1-a)ce}$
     
  2. $\frac{ad}{ad+(1-a)e}$
     
  3. $\frac{ab}{ab+(1-a)c}$
     
  4. None of these

2 Answers

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By the definition of conditional probability :

$$P(A \mid B \cap C) = \frac{P(A \cap B \cap C)}{P(B \cap C)}$$

Given :

  • $P(A) = a$

  • $P(B \mid A) = b$

  • $P(B \mid A^c) = c$

  • $P(C \mid A \cap B) = d$

  • $P(C \mid A^c \cap B) = e$

Note: The problem states "$C$ can occur only when $B$ occurs." This means $C$ is a subset of $B$ ($C \subseteq B$), so the event $C$ is exactly the same as the event $B \cap C$. Therefore, finding $P(B \cap C)$ is the same as finding the total probability of $C$ occurring inside $B$.
 

Now, We can use the general multiplication rule (chain rule) of probability to express the joint probability of $A$, $B$, and $C$ occurring together:

$$P(A \cap B \cap C) = P(A) \cdot P(B \mid A) \cdot P(C \mid A \cap B)$$

$$\Rightarrow P(A \cap B \cap C) = a \cdot b \cdot d = abd$$

To find the total probability of $B \cap C$, we can use the Law of Total Probability by partitioning the sample space into $A$ and its complement $A^c$:

$$P(B \cap C) = P(A \cap B \cap C) + P(A^c \cap B \cap C)$$

We already calculated the first part ($abd$). Now let's calculate the second part using the multiplication rule again:

$$P(A^c \cap B \cap C) = P(A^c) \cdot P(B \mid A^c) \cdot P(C \mid A^c \cap B)$$

$$\Rightarrow P(A^c \cap B \cap C) = (1 - a) \cdot c \cdot e$$

$$\Rightarrow P(B \cap C) = P(A \cap B \cap C) + P(A^c \cap B \cap C) = abd + (1 - a)ce$$

Final Probability : 

$$\Rightarrow P(A \mid B \cap C) = \frac{P(A \cap B \cap C)}{P(B \cap C)}$$

$$\boxed{\Rightarrow P(A \mid B \cap C) = \frac{abd}{abd + (1 - a)ce}}$$

Therefore, the correct option is A.

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