Permutation and Combination Questions with Answers PDFs for MBA Preparation

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Vipra Shrivastava
Updated on Mar 9, 2026 12:19 IST

By Vipra Shrivastava, Senior Manager - Content

Permutation-Combination questions can be challenging if you don’t know the trick to decipher the arrangement of given objects. An important section of Quantitative Aptitude, Permutation-Combination as a concept refers to arrangement of objects in certain order. There can be diverse methods of arranging a set. While permutation is about arranging objects with significance of order in selection, combination is about arranging objects without it. There are usually 2-3 Permutation-Combination questions in exams like CAT. Let's understand Permutation-Combination by definition and examples.

Table of contents
  • What is Permutation-Combination?
  • Permutation Theorem
  • Combination Theorem
  • Difference between Permutation and Combination
  • CAT Quantitative Aptitude Practice Questions with Solutions
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What is Permutation-Combination?

As per the definition, the counting rule or the fundamental counting principle states that if an event has p outcomes and another event has q outcomes, then the number of outcomes when both these events occur together is p x q.

Permutation Formula:

nPr = (n!) / (n-r)!

Combination Formula:

nCr = n!/r!(

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Permutation Theorem

A Permutation is an arrangement in a particular order of several things considered a few or all at a time.

Theorem 1: The number of permutations of k different objects taken l at a time, where 0 kPl

Theorem 2: The number of permutations of k different objects taken l at a time, where repetition is allowed, is kr.

Theorem 3: The number of permutations of k objects, where l objects are of the same kind and the rest is all different is k!/l!

Also Read: MBA Preparation 2026: Tips to Prepare for MBA Entrance Exams

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Combination Theorem

A Combination refers to the number of possible arrangements possible for an event. In combination, the order of selection does not matter.

The number of combinations of k items taken at a time is denoted as kCl.

Theorem 4: kCk-l = k!/(k-l)!(k- (k-l))! = k!/(k-l)! l!= kCl

We infer that, selecting l items from k items also means rejecting k-l items.

Theorem 5: kCl = kCm ⇒ l = m or l = k-m, i.e., k = l + m

Theorem 6: kCl = kCl-1 = k+1Cl

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Illustrated Examples of Permuation-Combination

Q 1: Find the value of k such that, kP5 = 42 kP3 , k>4

Solution:

Given that, kP5 = 42 kP3

Applying the formula of permutation,

k (k – 1) (k – 2) (k – 3) (k– 4) = 42 k(k – 1) (k– 2) 

According to the question, k > 4 so k(k – 1) (k – 2) ≠ 0

Therefore, by dividing both sides by k(k – 1) (k – 2), we get

(k – 3 (k – 4) = 42 or k2 – 7k – 30 = 0 

or k2 – 10k + 3k – 30 or (k – 10) (k + 3) = 0 

or k – 10 = 0 or k + 3 = 0 or k = 10  or k = – 3

As k cannot be negative, so k= 10.

Q 2: If kC9 = kC8, find kC17 ?

Solution:

Given, kC9 = kC8

k!/9!(k-9)!= k!/8! (k-8)!

That is, 1/9= 1/k-8

So, k-8 = 9

Hence, k=17 and kC17 = 17C17 = 1

Q 3: In how many ways can 5 balls and 3 boxes be arranged in a row so that no two boxes are together?

Solution:

The 5 balls can be arranged in 5! ways, and to ensure that no two boxes are together, 3 boxes can be put in 6C3 ways.

Total = 5! X  6C3 = 5! X 6!/3!= 4x 5x 2x 3x 4x 5x 6 = 14,400 ways

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Difference between Permutation and Combination

In order to further simplify this concept, we have shared key differences between Permutation and Combination. This table will help you in conceptual clarity.

Particulars

Permutation

Combination

Definition

Permutation is an arrangement of all members in a particular order.

A combination is a selection of members from a collection or group.

Represents

Arrangement

Selection

Order

Values are arranged in a specific order.

Values are not arranged in any specific order.

Derivation

There can be multiple permutations from a single combination.

There can be only single combination from a single permutation.

Formula

nPr = n!/(n-r)!

nCr = n!/(r!)(n-r)!

Read more: Difference between Permutation and Combination

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