\(P(E_1∩E_2)=P(E_1)⋅P(E_2)\)
\(P(E'_1∩E'_2)=P(E'_1)⋅P(E'_2)\)
\(P(E_1∩E'_2)=P(E_1)⋅P(E_2)\)
\(P(E'_1∩E_2)=P(E_1)⋅P(E_2)\)
We are given the following probabilities for events \(E_1\) and \(E_2\):
We need to determine which of the given options is correct. Let's use the concept of conditional probabilities:
We already know \(P(E_1 \cap E_2) = \frac{1}{8}\). It is given.
\(P(E_1|E_2) = \frac{P(E_1 \cap E_2)}{P(E_2)}\)
Substituting the known values, we have:
\(\frac{1}{2} = \frac{\frac{1}{8}}{P(E_2)}\)
Solving for \(P(E_2)\), we get:
\(P(E_2) = \frac{1}{4}\)
\(P(E_2|E_1) = \frac{P(E_1 \cap E_2)}{P(E_1)}\)
Substituting the known values, we have:
\(\frac{3}{4} = \frac{\frac{1}{8}}{P(E_1)}\)
Solving for \(P(E_1)\), we get:
\(P(E_1) = \frac{1}{6}\)
We need to check which statement about independence holds for the complements of the events.
We know \(P(E_1 \cap E_2) = \frac{1}{8}\).
Now consider:
\(P(E_1 \cap E'_2) = P(E_1) - P(E_1 \cap E_2)\)
\(= \frac{1}{6} - \frac{1}{8}\)
\(= \frac{4}{24} - \frac{3}{24} = \frac{1}{24}\)
Compute the product of the probabilities:
\(P(E_1) \cdot P(E_2) = \frac{1}{6} \times \frac{1}{4} = \frac{1}{24}\)
As \(P(E_1 \cap E'_2) = P(E_1) \cdot P(E_2)\), the correct option is:
\(P(E_1 \cap E'_2) = P(E_1) \cdot P(E_2)\)
Therefore, the correct answer is:
\(P(E_1 \cap E'_2) = P(E_1) \cdot P(E_2)\)
If a random variable \( x \) has the probability distribution 
then \( P(3<x \leq 6) \) is equal to
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: