Let \( B_1 \), \( B_2 \), and \( B_3 \) be the events of selecting Box-1, Box-2, and Box-3, respectively.
Let \( W \) be the event of drawing a white ball.
Given:
- \( P(B_1) = \frac{1}{2} \)
- \( P(B_2) = \frac{1}{6} \)
- \( P(B_3) = \frac{1}{3} \)
Conditional probabilities:
- \( P(W|B_1) = \frac{1}{3} \) (1 white ball out of 3 total)
- \( P(W|B_2) = \frac{2}{3} \) (2 white balls out of 3 total)
- \( P(W|B_3) = \frac{3}{6} = \frac{1}{2} \) (3 white balls out of 6 total)
We need to find \( P(B_2|W) \). Using Bayes' Theorem:
\[
P(B_2|W) = \frac{P(W|B_2)P(B_2)}{P(W)}
\]
First, calculate \( P(W) \) using the Law of Total Probability:
\[
P(W) = P(W|B_1)P(B_1) + P(W|B_2)P(B_2) + P(W|B_3)P(B_3)
\]
\[
P(W) = \left(\frac{1}{3} \times \frac{1}{2}\right) + \left(\frac{2}{3} \times \frac{1}{6}\right) + \left(\frac{1}{2} \times \frac{1}{3}\right)
\]
\[
P(W) = \frac{1}{6} + \frac{2}{18} + \frac{1}{6} = \frac{1}{6} + \frac{1}{9} + \frac{1}{6} = \frac{3}{18} + \frac{2}{18} + \frac{3}{18} = \frac{8}{18} = \frac{4}{9}
\]
Now, calculate \( P(B_2|W) \):
\[
P(B_2|W) = \frac{\left(\frac{2}{3} \times \frac{1}{6}\right)}{\frac{4}{9}} = \frac{\frac{2}{18}}{\frac{4}{9}} = \frac{\frac{1}{9}}{\frac{4}{9}} = \frac{1}{9} \times \frac{9}{4} = \frac{1}{4} = 0.25
\]
Answer: The probability that the white ball is drawn from Box-2 is 0.25.