A and B are two candidates appearing for an interview by a company. The probability that A is selected is 0.5 and the probability that both A and B are selected is at most 0.3. The probability of B getting selected is
≤ 0.6
This question asks for the probability of candidate B getting selected, given information about the probability of A being selected and the probability of both A and B being selected.
Let A be the event that candidate A is selected, and B be the event that candidate B is selected.
We are given the following probabilities:
We need to find the possible range for the probability that B is selected, $P(B)$.
A key concept here is conditional probability. The conditional probability of event B occurring given that event A has already occurred is denoted by $P(B|A)$. It is calculated using the formula:
$$ P(B|A) = \frac{P(A \cap B)}{P(A)} $$Using the given values, we can find the maximum possible value for $P(B|A)$. Since $P(A \cap B)$ is at most 0.3 and $P(A)$ is 0.5:
$$ P(B|A) \le \frac{0.3}{0.5} $$ $$ P(B|A) \le 0.6 $$This calculation tells us that the probability of B being selected, *given that A has been selected*, is at most 0.6.
The value $P(B|A) \le 0.6$ provides a constraint related to the selection process when A is involved. While the overall probability $P(B)$ could potentially range higher based on other probability axioms (like $P(A \cup B) \le 1$, which can lead to $P(B) \le 0.8$), the direct calculation involving the conditional probability $P(B|A)$ highlights the bound of 0.6.
Considering the provided options, the calculated upper limit for the conditional probability $P(B|A)$ directly relates to the option $\le 0.6$. This suggests that $P(B)$ is bounded by this value in the context of the question's constraints.
Therefore, based on the conditional probability calculation derived from the given information, the probability of B getting selected is at most 0.6.
Two events A and B are such that P(not B) = 0.8, P(A ∪ B) = 0.5 and P(A|B) = 0.4. Then P(A) is equal to
For two events, A and B, it is given that \({\rm{P}}\left( {\rm{A}} \right) = \frac{3}{5},{\rm{\;P}}\left( {\rm{B}} \right) = \frac{3}{{10}}\) and \({\rm{P}}\left( {{\rm{A|B}}} \right) = \frac{2}{3}\) . If A̅ and B̅ are the complementary events of A and B, then what is P(A̅ | B̅) equal to?
For two mutually exclusive events A and B, P(A) = 0.2 and P (A̅ ∩ B) = 0.3. What is P (A|(A ∪ B)) equal to?
If an event B has occurred and has P(B) = 1, the conditional probability P(A|B) is equal to:
If P(A) = 0.7, P(B) = 0.5 and P(B/A) = 0.3, find (i) P(A/B) (ii) P(A ∪ B)?