Q.Three letters can be posted in five letterboxes in 35 ways.
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Combinations Probability: Counting When Order Doesn't Matter
Imagine you are picking a team of 3 students from a class of 10. You do not care who is chosen first, second, or third — you only care which 3 students end up on the team. That is a combination: a selection where order does not matter.
If you now ask for the chance that one particular set of 3 students (say your three best friends) is the one chosen, you are doing combinations probability: probability where the favourable and total outcomes are both counted using combinations.
The Core Intuition
When every possible selection is equally likely (like drawing names from a hat), the probability of an event is the familiar ratio:
P(E)=Total number of possible selectionsNumber of favourable selections
This is the same "favourable over total" idea from basic probability — the only new part is that we count combinations, not arrangements, because order is irrelevant.
The key difference from permutations: the group {Alice, Bob, Charlie} is the same selection as {Charlie, Bob, Alice}. Swapping the order of chosen items does not create a new outcome.
The Precise Statement
Let n be the total number of distinct objects and let r be how many you choose (without replacement). The number of ways to choose r objects from n is:
(rn)=r!(n−r)!n!
read as "n choose r". If a selection of r objects is made at random and every combination is equally likely, then the probability of an event E is:
P(E)=(rn)number of combinations in E
A Worked Example
Problem: A bag has 5 red marbles and 3 blue marbles. You draw 3 marbles at random (without looking). What is the probability of getting exactly 2 red marbles?
Step 1 — Total outcomes. Choosing 3 marbles from 8:
(38)=3!5!8!=56
Step 2 — Favourable outcomes. You need exactly 2 red (from 5) and 1 blue (from 3):
(25)×(13)=10×3=30
Step 3 — Probability.
P(exactly 2 red)=5630=2815
For "exactly k of one type", multiply (ways to choose k from that type) by (ways to choose the rest from the others), then divide by the total number of combinations.
Combinations vs. Permutations
| Situation | Use |
|-----------|-----| …
The key idea is that each of the 3 letters is independent, and each can be posted into any of the 5 letterboxes. This is a problem of counting assignments with repetition allowed.
- For the first letter, there are 5 choices of letterbox.
- For the second letter, again 5 choices (independent of the first).
- For the third letter, again 5 choices.
By the multiplication principle, the total number of ways is 5×5×5=53. …
The statement is false. The number of ways to post 3 distinct letters into 5 letterboxes is 53, not 35. The key is to decide which box each letter goes into — each letter has 5 choices, giving 5×5×5=125 ways.
Why the given statement is wrong
The confusion here is a classic one: who chooses what? When you post letters, each letter independently picks a letterbox. That means the letter is the active agent, and the letterbox is the destination. So for each of the 3 letters, there are 5 possible boxes — not the other way around.
Let’s break it down.
1. Identify the "objects" and the "containers"
We have:
- Objects: 3 distinct letters (say L₁, L₂, L₃)
- Containers: 5 distinct letterboxes (say B₁, B₂, B₃, B₄, B₅)
The act of posting means: for each letter, choose one box to drop it into. Multiple letters can go into the same box — there’s no restriction.
2. Count the choices per letter
Letter L₁ can go into any of the 5 boxes → 5 choices.
Letter L₂ can also go into any of the 5 boxes → 5 choices.
Letter L₃ similarly → 5 choices.
Since the choices for different letters are independent, we multiply:
5×5×5=53=125
That’s the total number of ways.
3. Why 35 would be wrong
35 would mean: for each of the 5 boxes, you choose one of the 3 letters to put into it. That would be the count if you were distributing boxes among letters — for example, if each box could receive at most one letter, or if you were assigning a "letter" to each box. But here, each letter must go somewhere, and boxes can hold many letters. The roles are reversed.
A common mistake is to swap the base and exponent. Remember: the number of ways to assign n distinct items to r distinct bins (with no limit on bin capacity) is rn, not nr. The exponent is the number of items, the base is the number of bins.
4. A quick check with small numbers …
Showing the 12 most recent of 25 on this concept.
- TG EAPCET 2026Set eng-2026-05-09-AN1 markMCQQ.If the number of circular permutations of 10 distinct things taken 5 at a time is m and the number of linear permutations of 9 distinct things taken 4 at a time is n, then m : n = (A) 1 : 2 (B) 2 : 1 (C) 2 : 3 (D) 3 : 2
›Reveal solutionSolution
The key idea is to correctly apply the formulas for circular and linear permutations, then compute the ratio. The final ratio is 2:1.
The problem asks for the ratio of two counts: m, the number of circular permutations of 10 distinct things taken 5 at a time, and n, the number of linear permutations of 9 distinct things taken 4 at a time. The trick is that circular permutations are not the same as linear ones — in a circle, rotations are considered identical, so we divide by the number of positions.
Let’s break it down.
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Understanding circular permutations
When arranging r distinct objects around a circle, there is no fixed starting point. A rotation of the entire arrangement gives the same circular arrangement. So the number of circular permutations of r distinct objects is rr!=(r−1)!.
But here we are selecting 5 out of 10 distinct things first, then arranging them in a circle. So we first choose which 5 things to use, then arrange them circularly.
Number of ways to choose 5 things from 10: (510).
Number of circular arrangements of these 5 distinct things: (5−1)!=4!.
Hence,
m=(510)×4!
- Simplify m
(510)=5!5!10!=5×4×3×2×110×9×8×7×6=252
4!=24
So m=252×24=6048.
- Understanding linear permutations Linear permutations of n distinct things taken r at a time is simply P(n,r)=(n−r)!n!. Here n=9, r=4. …
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- TG EAPCET 2026Set eng-2026-05-09-AN1 markMCQQ.Let S={2,3,5,7,11,13} be a set. Consider the set of all possible onto functions from S to S. If a function f is chosen from that set, then the probability that it satisfies the condition f(3)>3f(2) is (A) 32 (B) 152 (C) 61 (D) 101
›Reveal solutionSolution
Onto functions on a 6-element set are the 6! permutations. Only 5 ordered value-pairs (f(2),f(3)) satisfy f(3)>3f(2), giving probability 305=61.
Onto = bijection. A function from the 6-element set S onto itself is a permutation, so there are 6!=720 of them (the sample space).
Count the favourable case. Fix the images f(2)=a and f(3)=b (distinct elements of S) with b>3a; the remaining 4 elements can map to the remaining 4 values in 4!=24 ways. Count pairs (a,b) with a=b and b>3a:
- a=2(3a=6): b∈{7,11,13} — 3 pairs …
- TG EAPCET 2026Set eng-2026-05-09-FN1 markMCQQ.There are 7 men and 5 women in a park. The number of ways of arranging them around a circular path such that 4 particular persons which include 2 particular men and 2 particular women never stand together is (A) 11879(8!) (B) 966(8!) (C) 986(8!) (D) 494(4!)(8!)
›Reveal solutionSolution
The key idea is to count total circular arrangements of 12 people, then subtract those where the 4 particular persons (2 men, 2 women) are forced to sit together as a block, using the circular permutation formula (n−1)! and treating the block as a single entity. The final answer is 966(8!), which corresponds to option (B).
Concept and Intuition
When arranging people around a circle, the number of distinct arrangements is (n−1)! because rotations are considered identical. Here, we have 12 people total. The problem asks for arrangements where 4 particular persons (two specific men and two specific women) are never all together. The classic trick: count all arrangements, then subtract the arrangements where they are together. The "together" case is handled by treating the 4 people as a single block, then arranging the block + the remaining 8 people around the circle. But careful: inside the block, the 4 people can be permuted among themselves. Also, the block itself can be placed anywhere in the circle. Let's work step by step.
Step-by-step solution
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Total circular arrangements of all 12 people
For n distinct people around a circle, the number is (n−1)!. Here n=12, so total arrangements = (12−1)!=11!.
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Count arrangements where the 4 particular persons are always together
Treat the 4 particular persons as a single "block". Then we have this block plus the other 8 individuals, making 1+8=9 entities to arrange around the circle.
Number of circular arrangements of these 9 entities = (9−1)!=8!.
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Internal arrangements of the block
Inside the block, the 4 particular persons can be arranged in 4! ways. So the total number of arrangements where they are together = 8!×4!.
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Subtract to get "never together" …
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- TG EAPCET 2026Set eng-2026-05-09-FN1 markMCQQ.Bag A contains 5 white and 2 black balls. Bag B contains 2 white and 5 black balls. Two balls are randomly chosen from bag A and placed in bag B. Now a ball is drawn randomly from bag B and found that it is white. The probability that the two balls drawn from bag A are of different colour is (A) 2110 (B) 6310 (C) 125 (D) 1892
›Reveal solutionSolution
Set up the three transfer cases (WW, BB, WB) from bag A, find the probability of drawing white from the enlarged bag B, then apply Bayes' theorem; the answer is 125.
Bag A has 5 white, 2 black. Choosing 2 balls, with (27)=21:
P(WW)=21(25)=2110,P(BB)=21(22)=211,P(WB)=215⋅2=2110.
Bag B starts with 2 white, 5 black. After adding 2 balls it holds 9 balls, and the chance of then drawing white is:
P(W∣WW)=94,P(W∣BB)=92,P(W∣WB)=93.
Total probability of drawing white: …
- TG EAPCET 2026Set eng-2026-05-10-AN1 markMCQQ.A question paper contains 3 parts A, B and C. There are 5 questions in A, 4 questions in B and 3 questions in C. Atleast 3 questions from A, atleast 2 questions from B and atleast 1 question from C must be attempted. If a student has attempted 7 questions with these conditions, then the total number of ways in which he can attempt the questions (A) 330 (B) 402 (C) 390 (D) 430
›Reveal solutionSolution
The problem asks for the number of ways to choose exactly 7 questions from three parts (A:5, B:4, C:3) with minimums of 3 from A, 2 from B, and 1 from C. The answer is found by summing over all valid triples (a,b,c) that sum to 7, using combinations: total = 390, so option (C).
We need to count the number of ways a student can select questions to attempt, given:
- Part A: 5 questions, must attempt at least 3.
- Part B: 4 questions, must attempt at least 2.
- Part C: 3 questions, must attempt at least 1.
- Total attempted = exactly 7 questions.
The key idea: For each part, the student chooses some number of questions from that part, subject to the minimums and the total. Since the questions within each part are distinct, the number of ways to choose a questions from A is (a5), similarly (b4) and (c3). We sum over all triples (a,b,c) that satisfy the constraints.
Step-by-step reasoning:
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Define variables and constraints
Let a = number chosen from A, b from B, c from C.
Constraints:
- 3≤a≤5
- 2≤b≤4
- 1≤c≤3
- a+b+c=7
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List all possible triples
Since the ranges are small, we enumerate systematically. Start with a from 3 to 5, then find possible b and c that sum to 7.
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If a=3: then b+c=4.
Possible (b,c):
b=2,c=2 (since c≥1 and b≤4)
b=3,c=1
b=4,c=0 — invalid because c≥1.
So valid: (3,2,2) and (3,3,1).
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If a=4: then b+c=3.
Possible:
b=2,c=1
b=3,c=0 — invalid.
So only (4,2,1).
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If a=5: then b+c=2.
Possible:
b=2,c=0 — invalid.
b=1,c=1 — but b≥2, so invalid.
No valid triple for a=5.
Thus the only valid triples are:
(3,2,2), (3,3,1), (4,2,1).
-
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Compute the number of ways for each triple
For each triple, multiply the combinations from each part. …
- TG EAPCET 2026Set eng-2026-05-10-AN1 markMCQQ.Bag A contains 4 white, 3 red and 2 black balls and bag B contains 2 white, 4 red and 3 black balls. If a bag is chosen at random and two balls are drawn at random from that bag, then the probability of drawing a white ball and a black ball is (A) 187 (B) 92 (C) 367 (D) 61
›Reveal solutionSolution
The probability is found by conditioning on which bag is chosen (each with probability 1/2), then for each bag computing the probability of drawing one white and one black ball in two draws without replacement. The final result is 7/36, which corresponds to option (C).
We have two bags with different compositions, and the bag is chosen at random. The event we care about — drawing one white and one black ball — depends on which bag we pick. So we use the law of total probability:
P(white and black)=P(bag A)⋅P(white and black∣A)+P(bag B)⋅P(white and black∣B)
Since each bag is equally likely, P(bag A)=P(bag B)=21.
Now we compute the conditional probabilities.
- Bag A has 4 white, 3 red, 2 black → total 9 balls. We want one white and one black in two draws without replacement. Number of ways to choose 2 balls from 9: (29)=36. Number of favorable ways: choose 1 white from 4 and 1 black from 2 → 4×2=8. So
P(white and black∣A)=368=92.
- Bag B has 2 white, 4 red, 3 black → total 9 balls. Total ways: (29)=36. Favorable ways: choose 1 white from 2 and 1 black from 3 → 2×3=6. So
P(white and black∣B)=366=61.
- Now combine using the law of total probability:
- TG EAPCET 2026Set eng-2026-05-10-FN1 markMCQQ.If all the letters of the word ‘ASSOCIATION’ are permuted in all possible ways to form all 11-letter words (with or without meaning), then among these words, the number of words in which the identical letters are always together but no two such groups of identical letters are together is (A) 1440 (B) 2304 (C) 576 (D) 144
›Reveal solutionSolution
Grouping each repeated pair (AA, SS, OO, II) as a block and requiring no two blocks adjacent gives 3!×4!=144 words — option (D).
The word ASSOCIATION has 11 letters: A,S,O,I each appear twice, while C,T,N appear once.
"Identical letters are always together" means each repeated pair is tied into a single block: AA, SS, OO, II — four distinct blocks. The single letters C,T,N (three distinct) serve as separators.
"No two such groups of identical letters are together" means no two of the four blocks may be adjacent.
Step 1 — arrange the separators. Place the 3 distinct single letters: 3!=6 ways. This creates 4 gaps (the two ends plus the two internal spaces):
_C_T_N_ …
- TG EAPCET 2026Set eng-2026-05-11-FN1 markMCQQ.If two cards are drawn at a time from a well shuffled pack of 52 cards, then the probability of getting a result containing only one king and only one spade card is (A) 2218 (B) 132649 (C) 22112 (D) 261
›Reveal solutionSolution
Count draws of two cards with exactly one king and exactly one spade in two disjoint cases (36+36=72), then divide by (252)=1326: 132672=22112 — option (C).
Total outcomes. Drawing 2 of 52 cards (order irrelevant):
(252)=252×51=1326.
Favourable outcomes. We need exactly one king and exactly one spade among the two cards. The king of spades belongs to both categories, so split into two disjoint cases.
Case 1 — one card is the king of spades. It supplies the single king and the single spade, so the other card must be neither a king nor a spade. There are 3 other kings and 12 other spades, i.e. 15 forbidden cards among the remaining 51, leaving 51−15=36 choices. …
- TG EAPCET 2025Set eng-2025-05-04-AN1 markMCQQ.The number of positive integral solutions of xyz=60 is (A) 2C59 (B) 2C4×2C3×2C3 (C) 3C4 (D) 1C3×0C4×4C4
›Reveal solutionSolution
Distribute the prime exponents of 60=22⋅3⋅5 among x,y,z: (24)(23)(23)=54 solutions. Option (B).
Write 60=22⋅31⋅51. For positive integers with xyz=60, split each prime's exponent among the three factors (stars and bars, nonnegative exponents):
- exponent of 2: a1+a2+a3=2⇒(22+2)=(24)=6
- exponent of 3: b1+b2+b3=1⇒(23)=3
- exponent of 5: c1+c2+c3=1⇒(23)=3 …
- TG EAPCET 2025Set eng-2025-05-04-FN1 markMCQQ.The number of positive integral solutions of xyz=60 is (A) 4C3 (B) 3C1×4C0×4C4 (C) 4C2×3C2×3C2 (D) 59C2
›Reveal solutionSolution
The key idea is to count the number of ways to distribute the prime factors of 60 among three variables, which reduces to a stars-and-bars problem. The final answer is 54, which matches option (C).
We need the number of positive integer solutions to xyz=60. Since the variables are positive integers, each must be a divisor of 60. The natural approach is to factor 60 completely and then assign its prime factors to x,y,z.
Why this works:
The equation xyz=60 means that the product of the three numbers equals 60. If we write 60 as a product of primes, then each prime factor must appear in exactly one of x,y,z (or be split across them). Counting the number of ways to distribute the prime factors is equivalent to counting the number of ordered triples (x,y,z) of positive integers whose product is 60.
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Factorize 60 completely:
60=22×31×51.
So we have: two 2’s, one 3, and one 5 to distribute among x,y,z.
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Treat each prime independently:
Because the primes are distinct, the distribution of the 2’s does not affect the distribution of the 3’s or 5’s. The total number of ordered triples is the product of the number of ways to distribute each prime’s exponent.
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Distribute the two 2’s:
We need to assign the exponent of 2 (which can be 0, 1, or 2) to each of x,y,z such that the sum of the exponents equals 2. This is a stars-and-bars problem: number of nonnegative integer solutions to a+b+c=2 is (3−12+3−1)=(24)=6.
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Distribute the one 3:
Similarly, for the exponent of 3, we need d+e+f=1 (nonnegative integers). Number of solutions: (3−11+3−1)=(23)=3.
-
Distribute the one 5:
Same as for 3: g+h+i=1 gives (23)=3 ways.
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Multiply the counts:
Total ordered triples = 6×3×3=54.
Now check the options: …
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- TG EAPCET 2024Set eng-2024-05-09-AN1 markMCQQ.Three similar urns A, B, C contain 2 red and 3 white balls; 3 red and 2 white balls; 1 red and 4 white balls respectively. If a ball selected at random from one of the urns is found to be red, then the probability that it is drawn from urn C is (A) 61 (B) 31 (C) 21 (D) 92
›Reveal solutionSolution
This is a classic Bayes’ theorem problem: we update the prior probability of picking each urn (each 1/3) with the likelihood of drawing a red ball from that urn. The posterior probability that the red ball came from urn C is 1/6, so the correct option is (A).
We are told there are three urns, each with a different mix of red and white balls.
- Urn A: 2 red, 3 white → total 5 balls.
- Urn B: 3 red, 2 white → total 5 balls.
- Urn C: 1 red, 4 white → total 5 balls.
A ball is selected at random from one of the urns (each urn equally likely), and it turns out to be red. We want the probability that it came from urn C.
Concept & Intuition
This is a textbook case for Bayes’ theorem. We have three “causes” (the urn chosen) and one “effect” (a red ball). We know the probability of the effect given each cause (the fraction of red balls in that urn). We also know the prior probability of each cause (each urn is equally likely). Bayes’ theorem lets us reverse the conditional: given the effect occurred, what’s the probability it came from a particular cause?
The key is to compute the total probability of drawing a red ball (the denominator) and then the portion contributed by urn C (the numerator).
Step-by-step solution
-
Define events
Let R be the event “the drawn ball is red.”
Let A,B,C be the events that the ball came from urn A, B, or C respectively.
-
Write down the prior probabilities
Since the urn is chosen at random,
P(A)=P(B)=P(C)=31.
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Write down the likelihoods (probability of drawing a red ball from each urn)
- From urn A: 2 red out of 5 → P(R∣A)=52.
- From urn B: 3 red out of 5 → P(R∣B)=53.
- From urn C: 1 red out of 5 → P(R∣C)=51.
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Compute the total probability of drawing a red ball (the denominator in Bayes’ theorem)
By the law of total probability:
P(R)=P(A)P(R∣A)+P(B)P(R∣B)+P(C)P(R∣C)
Substitute:
P(R)=31⋅52+31⋅53+31⋅51=31(52+3+1)=31⋅56… - TG EAPCET 2024Set eng-2024-05-09-AN1 markMCQQ.A fair coin is tossed a fixed number of times. If the probability of getting 5 heads is equal to the probability of getting 4 heads, then the probability of getting 6 heads is (A) 647 (B) 329 (C) 12821 (D) 25635
›Reveal solutionSolution
The key idea is that for a binomial distribution with equal head/tail probability, equal probabilities for 4 and 5 heads implies the number of trials is n=9. Then the probability of 6 heads is (69)(1/2)9=84/512=21/128, which corresponds to option (C).
We are told a fair coin is tossed a fixed number n times. The probability of getting exactly k heads in n tosses is given by the binomial formula:
P(k)=(kn)(21)n
since the coin is fair (probability of heads = 1/2).
The condition: P(5)=P(4). That means:
(5n)(21)n=(4n)(21)n
Cancelling the common factor (1/2)n (which is never zero), we get:
(5n)=(4n)
Now, recall the symmetry property of binomial coefficients: (kn)=(n−kn). But here we have equality between consecutive numbers, not symmetric ones. So we use the explicit formula:
(5n)=5!(n−5)!n!,(4n)=4!(n−4)!n!
Setting them equal:
5!(n−5)!n!=4!(n−4)!n!
Cancel n! and multiply both sides by 5!(n−4)!:
(n−4)!=5⋅(n−5)!
Since (n−4)!=(n−4)(n−5)!, we have:
(n−4)(n−5)!=5(n−5)!
Cancel (n−5)! (nonzero for n≥5):
n−4=5⇒n=9
So the coin is tossed 9 times.
Now we want P(6):
P(6)=(69)(21)9 …
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