To find the probability of the intersection of the complements of events A and B, we can use the complement rule:
\(P(A' \cap B') = 1 - P(A \cup B)\)
We know that \(P(A|B) = \frac{P(A \cap B)}{P(B)}\)
Rearranging the equation, we have:
\(P(A \cap B) = P(A|B) \cdot P(B)\)
Given that \(P(A) = \frac{1}{2}, \quad P(B) = \frac{1}{3}\), and \(P(A|B) = \frac{1}{4}\)
we can substitute these values into the equation:
\(P(A \cap B) = \left(\frac{1}{4}\right) \times \left(\frac{1}{3}\right) = \frac{1}{12}\)
Now, we can find the probability of the union of events A and B:
\(P(A \cup B) = P(A) + P(B) - P(A \cap B) = \frac{1}{2} + \frac{1}{3} - \frac{1}{12} = \frac{6}{12} + \frac{4}{12} - \frac{1}{12} = \frac{9}{12} = \frac{3}{4}\)
Finally, we can find the probability of the intersection of the complements:
\(P(A' \cap B') = 1 - P(A \cup B) = 1 - \left(\frac{3}{4}\right) = \frac{1}{4}\)
Therefore, the correct option is (A) \(\frac{1}{4}\)
Given:
\[ P(A) = \frac{1}{2}, \quad P(B) = \frac{1}{3}, \quad P(A|B) = \frac{1}{4} \] From conditional probability formula: \[ P(A|B) = \frac{P(A \cap B)}{P(B)} \] \[ \frac{1}{4} = \frac{P(A \cap B)}{\frac{1}{3}} \Rightarrow P(A \cap B) = \frac{1}{4} \cdot \frac{1}{3} = \frac{1}{12} \] Now use the formula: \[ P(A' \cap B') = 1 - P(A \cup B) \] \[ P(A \cup B) = P(A) + P(B) - P(A \cap B) = \frac{1}{2} + \frac{1}{3} - \frac{1}{12} \] \[ = \frac{6 + 4 - 1}{12} = \frac{9}{12} = \frac{3}{4} \] \[ \Rightarrow P(A' \cap B') = 1 - \frac{3}{4} = \frac{1}{4} \] Correct Answer: \(\frac{1}{4}\)
We are given the following probabilities:
We need to find \(P(A' \cap B')\).
First, recall De Morgan's law for events: \(A' \cap B' = (A \cup B)'\).
Using the complement rule, we have:
\[ P(A' \cap B') = P((A \cup B)') = \mathbf{1 - P(A \cup B)} \]
Next, we need to find \(P(A \cup B)\). The formula for the probability of the union of two events is:
\[ P(A \cup B) = P(A) + P(B) - P(A \cap B) \]
To use this formula, we first need to calculate \(P(A \cap B)\). We can use the definition of conditional probability:
\[ P(A|B) = \frac{P(A \cap B)}{P(B)} \]
Rearranging this formula gives:
\[ P(A \cap B) = P(A|B) \times P(B) \]
Substitute the given values:
\[ P(A \cap B) = \frac{1}{4} \times \frac{1}{3} = \mathbf{\frac{1}{12}} \]
Now, substitute the values of \(P(A)\), \(P(B)\), and \(P(A \cap B)\) into the formula for \(P(A \cup B)\):
\[ P(A \cup B) = \frac{1}{2} + \frac{1}{3} - \frac{1}{12} \]
Find a common denominator (12):
\[ P(A \cup B) = \frac{6}{12} + \frac{4}{12} - \frac{1}{12} \]
\[ P(A \cup B) = \frac{6 + 4 - 1}{12} = \frac{9}{12} = \mathbf{\frac{3}{4}} \]
Finally, calculate \(P(A' \cap B')\):
\[ P(A' \cap B') = 1 - P(A \cup B) = 1 - \frac{3}{4} = \mathbf{\frac{1}{4}} \]
Comparing this with the given options, the correct option is:
\(\frac{1}{4}\)
A gardener wanted to plant vegetables in his garden. Hence he bought 10 seeds of brinjal plant, 12 seeds of cabbage plant, and 8 seeds of radish plant. The shopkeeper assured him of germination probabilities of brinjal, cabbage, and radish to be 25%, 35%, and 40% respectively. But before he could plant the seeds, they got mixed up in the bag and he had to sow them randomly.
Given three identical bags each containing 10 balls, whose colours are as follows:
Bag I | 3 Red | 2 Blue | 5 Green |
Bag II | 4 Red | 3 Blue | 3 Green |
Bag III | 5 Red | 1 Blue | 4 Green |
A person chooses a bag at random and takes out a ball. If the ball is Red, the probability that it is from Bag I is $ p $ and if the ball is Green, the probability that it is from Bag III is $ q $, then the value of $ \frac{1}{p} + \frac{1}{q} $ is: