Step 1: Define the Problem
Total balls: 4 red + 6 blue = 10 balls. First ball drawn is blue (given). We need the probability that the second ball is red.
Step 2: Adjust for the First Draw
Since the first ball is blue, there are 6 blue balls initially, so the probability of drawing a blue ball first is \( \frac{6}{10} \). After drawing a blue ball, 9 balls remain: 4 red and 5 blue (since 6 - 1 = 5).
Step 3: Compute Conditional Probability
Probability that the second ball is red, given the first is blue, is the probability of drawing a red ball from the remaining 9 balls: \[ P(\text{second is red} \mid \text{first is blue}) = \frac{\text{Number of red balls}}{\text{Remaining balls}} = \frac{4}{9} \]
If A is any event associated with sample space and if E1, E2, E3 are mutually exclusive and exhaustive events. Then which of the following are true?
(A) \(P(A) = P(E_1)P(E_1|A) + P(E_2)P(E_2|A) + P(E_3)P(E_3|A)\)
(B) \(P(A) = P(A|E_1)P(E_1) + P(A|E_2)P(E_2) + P(A|E_3)P(E_3)\)
(C) \(P(E_i|A) = \frac{P(A|E_i)P(E_i)}{\sum_{j=1}^{3} P(A|E_j)P(E_j)}, \; i=1,2,3\)
(D) \(P(A|E_i) = \frac{P(E_i|A)P(E_i)}{\sum_{j=1}^{3} P(E_i|A)P(E_j)}, \; i=1,2,3\)
Choose the correct answer from the options given below: