Conditional Probability: Probability After Given Information
For two events A and B with P(B) > 0, the conditional probability of A given B is P(A|B) = P(A∩B)/P(B). It measures the chance of A after restricting the sample space to B.
In one line: After the bar means already known; the denominator is the probability of what is after the bar.
Practice This ConceptUnderstand it
The event written after the vertical bar is the given event. In P(A|B), B has already occurred, so only outcomes in B remain relevant. The numerator P(A∩B) counts outcomes where both A and B occur, and the denominator P(B) rescales the probability within the given event.
Example
Formula and rule
Key formula: P(A|B) = P(A∩B)/P(B), valid only when P(B) > 0.
Similarly, P(B|A) = P(A∩B)/P(A), valid only when P(A) > 0.
See it worked out
Follow the example line by line, then use the same method on new questions.
Worked example
Given P(A) = 0.6, P(B) = 0.5, and P(A∪B) = 0.8, find P(A|B).
- 1First use P(A∪B) = P(A)+P(B)-P(A∩B).
- 2So 0.8 = 0.6+0.5-P(A∩B), giving P(A∩B) = 0.3.
- 3Therefore P(A|B) = 0.3/0.5 = 0.6.
Method you can reuse
- 1Identify the required conditional probability.
- 2Mark the given event as the denominator.
- 3Find P(A∩B) from data, counting, or the union formula.
- 4Substitute into P(A|B) = P(A∩B)/P(B).
- 5Check that the denominator is not zero.
Visual tip
A Venn diagram can help show A∩B inside B, but the formula does not require a diagram. If drawn, shade the overlap A∩B and treat B as the reduced sample space.
Check yourself
Answer the question in your head before opening the answer.
Try it yourself
If P(A∩B) = 0.18 and P(B) = 0.45, find P(A|B).
Think first, then show answerHide answer
Common wrong answer
Writing P(A|B) = P(B)/P(A∩B) or placing P(A) in the denominator just because A is mentioned first.
Don't mix this up
Exam tip
Write it in the exam
Each point is worth about one mark. Write point 1 for a 1-mark question and keep adding points as the marks go up.
How CBSE asks it
- 1
Enough for 1 mark
For two events A and B with P(B) > 0, the conditional probability of A given B is P(A|B) = P(A∩B)/P(B). It measures the chance of A after restricting the sample space to B.
- 2
Add for 2 marks
Example: If a card is drawn from a deck, let A be the event that the card is a king and B be the event that the card is a face card. Since there are 12 face cards and 4 kings, P(A|B) = P(A∩B)/P(B) = (4/52)/(12/52) = 1/3.
- 3
Add for 3 marks
The event written after the vertical bar is the given event.
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