Multiplication Theorem of Probability
For two events A and B, P(A∩B) = P(A)P(B|A) when P(A) > 0, and also P(A∩B) = P(B)P(A|B) when P(B) > 0.
In one line: For 'and' in stages, multiply along the path.
Practice This ConceptUnderstand it
The multiplication theorem rewrites the probability of both events occurring together using one event first and the other event under that condition. It is especially useful in word problems where probabilities are given in stages.
Example
Formula and rule
Key result: P(A∩B)=P(A)P(B|A)=P(B)P(A|B).
For three events, P(A∩B∩C)=P(A)P(B|A)P(C|A∩B), with required conditioning probabilities defined.
See it worked out
Follow the example line by line, then use the same method on new questions.
Worked example
A box contains 4 defective and 6 good items.
- 1Two items are selected without replacement.
- 2Find the probability both are defective.
- 3Let A be first defective and B be second defective.
- 4P(A)=4/10.
- 5After A, 3 defective remain out of 9, so P(B|A)=3/9.
- 6Thus P(A∩B)=(4/10)(3/9)=12/90=2/15.
Method you can reuse
- 1Define events in order.
- 2Decide whether the trial is with or without replacement.
- 3Write the probability of the first event.
- 4Write the probability of the next event under the previous condition.
- 5Multiply the branch probabilities and simplify.
Visual tip
A tree diagram is useful for successive trials or staged choices. Each branch should show the conditional probability after the previous outcome.
Check yourself
Answer the question in your head before opening the answer.
Try it yourself
If P(A)=0.4 and P(B|A)=0.7, find P(A∩B).
Think first, then show answerHide answer
Common wrong answer
Using (4/10)(4/10) in a without-replacement problem, ignoring that the total and favorable counts change after the first selection.
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, P(A∩B) = P(A)P(B|A) when P(A) > 0, and also P(A∩B) = P(B)P(A|B) when P(B) > 0.
- 2
Add for 2 marks
Example: A bag has 5 red and 3 blue balls. Two balls are drawn without replacement. Probability that both are red = P(first red)P(second red | first red) = (5/8)(4/7) = 5/14.
- 3
Add for 3 marks
The multiplication theorem rewrites the probability of both events occurring together using one event first and the other event under that condition.
Practice this concept with focused MCQs
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