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: \[ P(\text{second is red} \mid \text{first is blue}) = \frac{\text{Number of red balls}}{\text{Remaining balls}} = \frac{4}{9} \]
| List-I | List-II | ||
|---|---|---|---|
| (A) | $f(x) = \frac{|x+2|}{x+2} , x \ne -2 $ | (I) | $[\frac{1}{3} , 1 ]$ |
| (B) | $(x)=|[x]|,x \in [R$ | (II) | Z |
| (C) | $h(x) = |x - [x]| , x \in [R$ | (III) | W |
| (D) | $f(x) = \frac{1}{2 - \sin 3x} , x \in [R$ | (IV) | [0, 1) |
| (V) | { -1, 1} | ||
| List I | List II | ||
|---|---|---|---|
| (A) | $\lambda=8, \mu \neq 15$ | 1. | Infinitely many solutions |
| (B) | $\lambda \neq 8, \mu \in R$ | 2. | No solution |
| (C) | $\lambda=8, \mu=15$ | 3. | Unique solution |
S is the sample space and A, B are two events of a random experiment. Match the items of List A with the items of List B.
Then the correct match is:
For the probability distribution of a discrete random variable \( X \) as given below, the mean of \( X \) is: