Q.A letter is known to have come either from TATA NAGAR or from CALCUTTA. On the envelope, just two consecutive letters TA are visible. What is the probability that the letter came from TATA NAGAR.
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🔒 Start your 14-day free trial to unlock the full solution →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). …
The key idea is conditional probability: we compare the frequency of the visible clue "TA" in each city's name.
Step 1 – Count total occurrences of "TA" as consecutive letters
- In TATA NAGAR: the consecutive pairs are TA, AT, TA, (space), NA, AG, GA, AR. "TA" appears twice (positions 1-2 and 3-4).
- In CALCUTTA: the consecutive pairs are CA, AL, LC, CU, UT, TT, TA. "TA" appears once (positions 6-7).
Step 2 – Apply conditional probability
Let T = event that "TA" is visible, C = event letter is from TATA NAGAR.
We want P(C∣T). Assuming both cities equally likely a priori: …
Counting how often the pair "TA" occurs among all consecutive letter-pairs of each name and applying Bayes' theorem gives P(TATA NAGAR∣TA)=117.
Let E1 = "from TATA NAGAR" and E2 = "from CALCUTTA," with equal priors P(E1)=P(E2)=21. Let A = "the two visible consecutive letters are TA." The chance of seeing TA in a name equals (number of TA pairs) / (number of consecutive pairs).
1. TATA NAGAR (letters TATANAGAR, 9 letters ⇒8 consecutive pairs):
TA, AT, TA, AN, NA, AG, GA, AR.
"TA" occurs twice, so P(A∣E1)=82=41.
2. CALCUTTA (letters CALCUTTA, 8 letters ⇒7 consecutive pairs):
CA, AL, LC, CU, UT, TT, TA.
"TA" occurs once, so P(A∣E2)=71.
3. Bayes' theorem. …
Method: Bayes' theorem with counting-based likelihoods
Use this for "which source is more likely given an observed clue" problems where the likelihood of the clue must be obtained by counting how it can appear in each source.
Steps
Step 1: Assign priors
With no reason to prefer either source, take equal priors, e.g. P(source1)=P(source2)=21.
Step 2: Get each likelihood by counting
The chance of seeing the clue in a given name is …
Common Mistakes
Mistake 1: Counting single letters instead of the pair
Why it's wrong: the clue is the consecutive pair "TA", so counting how many T's or A's appear is irrelevant. Correct approach: scan adjacent letter-pairs and count matches of the whole pair.
Mistake 2: Miscounting the number of consecutive pairs
Why it's wrong: a 9-letter name has 8 adjacent pairs and an 8-letter name has 7; using the letter count instead skews every likelihood. Correct approach: use (length −1) pairs per name. …
- 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. …
- 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. …
- 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). …
- 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. …
- 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. …
- 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. …
- 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, …
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