This problem involves conditional probability. We need to find the probability of an event occurring given that another event has already occurred.
Let B denote a boy and G denote a girl. Assuming the probability of having a boy or a girl is equal ($\frac{1}{2}$), the possible combinations for two children, listed from older to younger, are:
Each combination has an equal probability of $\frac{1}{4}$.
We are given the condition that the older child is a boy. Let this event be 'A'. The outcomes where the older child is a boy are:
So, the reduced sample space, given event A, consists of these two equally likely outcomes.
We want to find the probability that both children are boys (event 'B') given that the older one is a boy (event 'A'). The outcome where both children are boys is BB.
Within the reduced sample space {BB, BG}, the outcome 'BB' occurs once.
Therefore, the conditional probability is calculated as:
$ P(\text{Both Boys} | \text{Older is Boy}) = \frac{\text{Number of outcomes where both are boys and older is a boy}}{\text{Number of outcomes where older is a boy}} $
$ P(\text{Both Boys} | \text{Older is Boy}) = \frac{1}{2} $
Alternatively, using the formula for conditional probability $P(B|A) = \frac{P(A \cap B)}{P(A)}$:
A and B are two events such that A̅ and B̅ are mutually exclusive. If P(A) = 0.5 and P(B) = 0.6, then what is the value of P(A|B)?
For two dependent events A and B, it is given that P(A) = 0.2 and P(B) = 0.5. If A ⊆ B, then the values of conditional probabilities P(A|B) and P(B|A) are respectively
In a bulb factory, machines P, Q and R manufacture respectively 25%, 35% and 40% of the total. Of their output 5, 4 and 2 percent respectively are defective bulbs. A bulb is drawn at random and it is found to be defective. What is the probability that it was manufactured by machine Q?
Let X1 and X2 be independent random variables each having geometric distribution qk p ; k = 0, 1, 2, …. Then the conditional distribution of X1 given X1 + X2 is
Find the probability that they speak the same fact if A speaks truth in 60% cases and B speaks truth in 75% cases?