Consider a situation in which [tex]$P(A) = \frac{1}{8}$[/tex], [tex]$P(C) = \frac{1}{4}$[/tex], and [tex]$P(A \text{ and } B) = \frac{1}{12}$[/tex]. What is [tex]$P(B \text{ and } C)$[/tex]?

[tex]$\square$[/tex]



Answer :

Certainly! Let's solve this step by step:

1. Given Information:
- [tex]\( P(A) = \frac{1}{8} \)[/tex]
- [tex]\( P(C) = \frac{1}{4} \)[/tex]
- [tex]\( P(A \text{ and } B) = \frac{1}{12} \)[/tex]

2. Calculate [tex]\( P(B) \)[/tex]:
- We know that [tex]\( P(A \text{ and } B) = P(A) \times P(B|A) \)[/tex]
- Assuming that events [tex]\( A \)[/tex] and [tex]\( B \)[/tex] are independent, then [tex]\( P(B|A) = P(B) \)[/tex]
- Thus, we can write: [tex]\( P(A \text{ and } B) = P(A) \times P(B) \)[/tex]

Given [tex]\( P(A \text{ and } B) = \frac{1}{12} \)[/tex] and [tex]\( P(A) = \frac{1}{8} \)[/tex], substitute these values into the equation:
[tex]\[ \frac{1}{12} = \frac{1}{8} \times P(B) \][/tex]

Solve for [tex]\( P(B) \)[/tex]:
[tex]\[ P(B) = \frac{1}{12} \div \frac{1}{8} = \frac{1}{12} \times \frac{8}{1} = \frac{8}{12} = \frac{2}{3} \][/tex]

3. Calculate [tex]\( P(B \text{ and } C) \)[/tex]:
- Now we need to find the probability of [tex]\( P(B \text{ and } C) \)[/tex]
- Assuming that events [tex]\( B \)[/tex] and [tex]\( C \)[/tex] are independent, we can use the formula: [tex]\( P(B \text{ and } C) = P(B) \times P(C) \)[/tex]

Given [tex]\( P(B) = \frac{2}{3} \)[/tex] and [tex]\( P(C) = \frac{1}{4} \)[/tex], substitute these values into the equation:
[tex]\[ P(B \text{ and } C) = \frac{2}{3} \times \frac{1}{4} = \frac{2 \times 1}{3 \times 4} = \frac{2}{12} = \frac{1}{6} \][/tex]

Therefore, [tex]\( P(B \text{ and } C) = \frac{1}{6} \)[/tex].