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Question: If A and B are two events defined on a sample space Q.65 such that P(A) = 0.3; P(B) = 0.5; P(A/B) = ...

If A and B are two events defined on a sample space Q.65 such that P(A) = 0.3; P(B) = 0.5; P(A/B) = 0.2 and P(B/Ac)=37\text{P(B/A}^\text{c}) = \frac{3}{7}, then the value of P ((A∩Bc)(AcB))\text{P ((A∩B}^\text{c})\cup(A^\text{c} \cap B)) is

A

0.4

B

0.5

C

0.6

D

0.7

Answer

0.5

Explanation

Solution

Let A and B be two events. We are given the following probabilities:

P(A) = 0.3 P(B) = 0.5 P(A|B) = 0.2 P(B|Ac^c) = 3/7

We need to find the value of P((A \cap Bc^c) \cup (Ac^c \cap B)).
This expression represents the probability of the symmetric difference of events A and B, which is the event that exactly one of A or B occurs. The events (A \cap Bc^c) and (Ac^c \cap B) are mutually exclusive.
So, P((A \cap Bc^c) \cup (Ac^c \cap B)) = P(A \cap Bc^c) + P(Ac^c \cap B).

First, let's find P(A \cap B) using the definition of conditional probability P(A|B):
P(A|B) = P(A \cap B) / P(B)
0.2 = P(A \cap B) / 0.5
P(A \cap B) = 0.2 * 0.5 = 0.1

Next, let's find P(Ac^c). Since Ac^c is the complement of A, P(Ac^c) = 1 - P(A).
P(Ac^c) = 1 - 0.3 = 0.7.

Now, let's find P(Ac^c \cap B) using the definition of conditional probability P(B|Ac^c):
P(B|Ac^c) = P(B \cap Ac^c) / P(Ac^c)
P(B \cap Ac^c) = P(B|Ac^c) * P(Ac^c)
P(Ac^c \cap B) = (3/7) * 0.7 = (3/7) * (7/10) = 3/10 = 0.3.

Now we need to find P(A \cap Bc^c). We know that P(A) = P(A \cap B) + P(A \cap Bc^c).
So, P(A \cap Bc^c) = P(A) - P(A \cap B).
P(A \cap Bc^c) = 0.3 - 0.1 = 0.2.

Finally, we can calculate the required probability:
P((A \cap Bc^c) \cup (Ac^c \cap B)) = P(A \cap Bc^c) + P(Ac^c \cap B)
= 0.2 + 0.3 = 0.5.

Note: The given probabilities are inconsistent, as P(B) = P(A \cap B) + P(Ac^c \cap B) should hold, but 0.5 \neq 0.1 + 0.3 = 0.4. However, the calculation of the desired quantity proceeds directly from the given values and definitions. We assume the question intends for us to use the given values as provided.