Q.A and B are two events such that P(A)=0. Find P(B∣A), if
Concept understanding — Conditional Probability
Conditional Probability
Roll a die and ask "what is the chance of an even number?" — that is 3/6. But suppose someone tells you the result is greater than 3. Now you are no longer looking at all six faces, only at {4,5,6}, and two of those (4 and 6) are even, so the probability becomes 2/3. That change — from the probability of A to the probability of A given that B has already occurred — is conditional probability.
The Idea: Shrink the Sample Space
Conditioning on B throws away every outcome where B is false and treats B as the new "whole world." You measure A only against what is still possible.
Think of filtering a table of data: unconditional probability uses every row; conditional probability keeps only the rows where the condition is true.
The Definition
For events A and B with P(B)>0,
P(A∣B)=P(B)P(A∩B).
We divide by P(B) to rescale so that B itself has probability 1; the surviving part of A is the overlap A∩B. Checking the die: P(A∩B)=P({4,6})=62 and P(B)=63, so P(A∣B)=3/62/6=32, matching the intuition.
Rearranging gives the multiplication rule P(A∩B)=P(A∣B)P(B), which is usually the easier way to compute a joint probability when a problem says "given that."
Two Cautions
- P(A∣B) and P(B∣A) are generally not equal; swapping them is the classic mistake. They are linked by Bayes' theorem, P(A∣B)=P(B)P(B∣A)P(A).
- If P(A∣B)=P(A), then knowing B tells you nothing about A — the events are independent. That is a special case, not the general rule.
Conditional probability is the foundation of the multiplication theorem, independence, and Bayes' theorem — every "given that" question in this chapter rests on it.
Conditional Probability opens the CBSE Class 12 Probability chapter and is foundational for everything that follows in that unit, including Bayes' theorem and the multiplication rule — making "conditional probability formula class 12 with examples" one of the most searched topics in Class 12 Mathematics. It is equally important for JEE Main and CUET, where conditional probability questions are set almost every year.
Concept: Conditional Probability — P(B∣A)=P(A)P(A∩B).
Step 1: Recall the definition:
P(B∣A)=P(A)P(A∩B)
Step 2: For (i), A⊆B implies A∩B=A.
Thus P(A∩B)=P(A), so
P(B∣A)=P(A)P(A)=1
Step 3: For (ii), A∩B=ϕ implies P(A∩B)=0.
Thus
P(B∣A)=P(A)0=0
- P(B∣A)=1;
- P(B∣A)=0.
Conditional probability P(B∣A) is defined as P(A)P(A∩B). When A⊆B, A∩B=A, so P(B∣A)=1. When A∩B=ϕ, P(A∩B)=0, so P(B∣A)=0.
The core idea here is conditional probability — the probability that event B occurs, given that we already know event A has occurred. The formula is:
P(B∣A)=P(A)P(A∩B)
The denominator P(A) is non-zero (given), so the fraction is well-defined. The numerator is the probability that both A and B happen. The key is to figure out what A∩B looks like in each case.
Let’s go case by case.
Case (i): A is a subset of B
If A⊆B, then every outcome in A is also in B. That means the overlap A∩B is simply A itself — there is no part of A that lies outside B.
So:
A∩B=A
Plug this into the formula:
P(B∣A)=P(A)P(A∩B)=P(A)P(A)=1
This makes intuitive sense: if A is inside B, then whenever A happens, B must also happen. So the conditional probability is certain — 1.
Case (ii): A∩B=ϕ
Here, A and B are disjoint — they have no outcomes in common. So the intersection is empty:
A∩B=ϕ⇒P(A∩B)=0
Substitute:
P(B∣A)=P(A)0=0
A common mistake is to think that if A and B are disjoint, then P(B∣A) is undefined or something else. But the formula is clear: the numerator is zero, so the result is zero. It means: if A happens, B cannot happen — they are mutually exclusive.
For (i) P(B∣A)=1; for (ii) P(B∣A)=0.
Method: Evaluating a conditional probability from the set relationship
For questions that give you how two events sit relative to each other (subset, disjoint, overlapping) rather than numbers, work straight from the definition and reduce the intersection using that relation.
Steps
Step 1: Start from the definition.
P(B∣A)=P(A)P(A∩B),P(A)=0.
Everything hinges on identifying A∩B.
Step 2: Replace A∩B using the given relationship.
Translate the words into what the overlap must be:
- If A⊆B, every outcome of A lies in B, so A∩B=A.
- If A∩B=∅ (disjoint), the overlap is empty, so P(A∩B)=0.
Step 3: Substitute and simplify.
A⊆B gives P(A)P(A)=1; disjoint gives P(A)0=0.
The reasoning, not arithmetic, is the point: P(B∣A) measures how much of A also lies in B — total overlap gives 1, no overlap gives 0.
Common Mistakes
Mistake 1: Thinking P(B∣A) is undefined when A and B are disjoint.
Why it's wrong: the formula is perfectly defined since P(A)=0; the numerator P(A∩B) is simply 0. Correct approach: P(B∣A)=P(A)0=0.
Mistake 2: Getting the subset case backwards.
Why it's wrong: when A⊆B, whenever A occurs B must occur, so the probability is 1, not 0. Correct approach: A∩B=A, giving P(B∣A)=P(A)P(A)=1.
- CA Foundation 2026Set jan-20261 markMCQQ.If in a class, 50% of the student study mathematics and science and 70% of the student study mathematics, then the probability of a student studying science given that he/she is already studying mathematics is (A) 73 (B) 76 (C) 74 (D) 75
›Reveal solutionSolution
Conditional probability P(S∣M)=P(M)P(M∩S).
Step 1 — identify the probabilities
50% study both maths and science, so P(M∩S)=0.5; 70% study maths, so P(M)=0.7.
Step 2 — apply the conditional-probability formula
P(S∣M)=P(M)P(M∩S)=0.70.5=75.
Watch outDivide by the given event's probability: since maths is given, the denominator is P(M)=0.7, not P(S) or the total. Dividing the other way (0.7/0.5) gives a value above 1, which is impossible for a probability.
Tip"Given that" tells you the denominator. Here it is "given studying mathematics," so put P(M) on the bottom: 0.5/0.7=5/7.
✓Final answer(D) 5/7
- CA Foundation 2026Set jan-20261 markMCQQ.If two dice are rolled, then the probability of getting a greater number on the first die than the one on the second, given that the sum should be equal to 7 is (A) 21 (B) 31 (C) 61 (D) 32
›Reveal solutionSolution
Conditional probability on a reduced sample space: P(A∣B)=n(B)n(A∩B).
Step 1 — list the outcomes with sum 7.
(1,6),(2,5),(3,4),(4,3),(5,2),(6,1)⇒n(B)=6.
Step 2 — count first die greater than second, among those.
(4,3),(5,2),(6,1) → 3 outcomes.
Step 3 — conditional probability.
P=63=21.
Watch outThe condition "sum = 7" shrinks the sample space to those 6 outcomes — divide by 6, not by the full 36. Using 3/36 gives 1/12, which isn't even an option.
TipNone of the sum-7 pairs are ties, so by symmetry "first > second" and "first < second" split the 6 outcomes evenly — the answer is simply half.
✓Final answer(A) 1/2
- CA Foundation 2023Set jun-20231 markMCQQ.If P(A)=31,P(B)=41,P(A/B)=61, the probability P(B/A) is (A) 81 (B) 41 (C) 83 (D) 21
›Reveal solutionSolution
P(B/A) = P(A∩B)/P(A) = (1/24)/(1/3) = 1/8.
Step 1 — Find the joint probability
P(A∩B)=P(A/B)P(B)=61×41=241
Step 2 — Apply the definition of conditional probability
P(B/A)=P(A)P(A∩B)=1/31/24=243=81
Watch outP(A/B) and P(B/A) are not equal — you must recompute the joint probability first, then divide by P(A), not P(B).
TipAnchor everything on P(A∩B): both conditionals flow from it via division by the conditioning event's probability.
✓Final answer(A) 81
NoteThis answer is verified — independently worked and reviewed by our experienced subject lecturers before we published it.
- CA Foundation 2022Set dec-20221 markMCQQ.If P(A)=31, P(B)=43 and P(A∪B)=1211 then P(AB) is: (A) 61 (B) 94 (C) 21 (D) 81
›Reveal solutionSolution
P(A∩B)=1/6, so P(B|A)=(1/6)/(1/3)=1/2.
Step 1 — Intersection via the addition rule
P(A∩B)=P(A)+P(B)−P(A∪B)=31+43−1211=124+9−11=122=61
Step 2 — Apply the conditional-probability formula
P(AB)=P(A)P(A∩B)=1/31/6=21
Watch outOption (A) 1/6 is just P(A∩B) — you must still divide by P(A) to get the conditional probability.
TipConditional probability always divides the joint probability by the probability of the given (conditioning) event.
✓Final answer(C) 21
NoteThis answer is verified — independently worked and reviewed by our experienced subject lecturers before we published it.
- CA Foundation 2021Set dec-20211 markMCQQ.For any two dependent events A and B, P(A)=5/9 and P(B)=6/11 and P(A∩B)=10/33. What are the values of P(A/B) and P(B/A)? (A) 5/9, 6/11 (B) 5/6, 6/11 (C) 1/9, 2/9 (D) 2/9, 4/9
›Reveal solutionSolution
Divide the joint probability by the conditioning event's probability: P(A∣B)=5/9, P(B∣A)=6/11.
Step 1 — Apply the conditional probability formula for P(A∣B)
P(A∣B)=P(B)P(A∩B)=6/1110/33=3310×611=198110=95
Step 2 — Apply it for P(B∣A)
P(B∣A)=P(A)P(A∩B)=5/910/33=3310×59=16590=116
Step 3 — Sanity check
Since P(A)P(B)=(5/9)(6/11)=10/33=P(A∩B), the conditionals collapse to the marginals — consistent with the computed values.
Watch outThe trap is to multiply P(A∩B) by P(B) instead of dividing (giving small fractions like 1/9, 2/9 in options C/D). Always divide by the given/conditioning event.
TipP(A∣B) = joint over the second letter's probability; P(B∣A) = joint over the first letter's probability.
✓Final answer(A) 5/9, 6/11
NoteThis answer is verified — independently worked and reviewed by our experienced subject lecturers before we published it.
- CA Foundation 2021Set dec-20211 markMCQQ.In a group of 20 males and 15 females, 12 males and 8 females are service holders. What is the probability that a person selected at random from the group is a service holder given that the selected person is a male? (A) 0.40 (B) 0.60 (C) 0.45 (D) 0.55
›Reveal solutionSolution
Condition on males only: 12 service holders out of 20 males = 0.60.
Step 1 — Identify the reduced sample space
Given the person is male, only the 20 males matter.
Step 2 — Apply the conditional formula
P(service∣male)=total malesmale service holders=2012=0.60
Watch outDo not divide by the full group of 35 — the condition 'given male' shrinks the denominator to 20.
Tip'Given that ...' problems: throw away everyone outside the given category, then take the simple fraction.
✓Final answer(B) 0.60
NoteThis answer is verified — independently worked and reviewed by our experienced subject lecturers before we published it.
- JKBOSE Class 12 Annual Regular Examination 2018Set WZ1 markMCQQ.If P(A)=103, P(B)=52 and P(A∪B)=53, then P(B/A)+P(A/B) equals:(a) 1/4(b) 1/3(c) 5/12(d) 7/2
›Reveal solutionSolution
Using P(A∩B)=P(A)+P(B)−P(A∪B) and the conditional-probability definitions, the correctly computed value is 127, which does not equal any of the four listed options.
Given P(A)=103, P(B)=52, P(A∪B)=53.
P(A∩B)=P(A)+P(B)−P(A∪B)=103+104−106=101
P(B/A)=P(A)P(A∩B)=3/101/10=31
P(A/B)=P(B)P(A∩B)=4/101/10=41
P(B/A)+P(A/B)=31+41=124+123=127
This is the value obtained by correctly applying the standard formulas to the numbers as given in the question. It does not match any of the four printed options — (a) 1/4,
(b) 1/3,
(c) 5/12,
(d) 7/2 — which suggests a possible misprint in one of the given probabilities in the source paper. Rather than guess which option was intended, the honest answer is the value that the given data actually yields, 127, together with a clear flag of the mismatch.
✓Final answerP(B/A)+P(A/B)=127 from the numbers as given — this does not match any of the four printed options; flagged as a likely misprint rather than answered by guessing an option.
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