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215 LearnersLast updated on October 22, 2025

Permutations and combinations are methods used to arrange or select items from a larger set. The key difference lies in whether the order of selection matters.
A permutation is the number of ways to arrange a set of items in a specific order.
It is represented as \(^nP_r\), where n is the total number of items and r is the number of items chosen for the arrangement.
The formula to calculate Permutation is:
\(^nP_r = \frac {n!} {(n – r)!}\)
A combination is the selection of items from a larger set where the order of selection is not important.
It is represented by \(^nC_r\), where n is the total number of distinct items and r is the number of items selected.
The formula for combination is:
\(^nC_r = \frac {n!} {[r! × (n – r)!]}\)
The order of selection of items is the main difference between permutations and combinations. Now we will learn the difference between permutations and combinations in detail.
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Permutation |
Combination |
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A permutation is the number of ways of arranging items in a specific order. |
A combination is the total number of possible selections of items from a given set. |
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In permutation, the order plays an important role. |
The order of the items is not important for the combination. |
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When the items are of different kinds, we use permutations. |
When the items are of a similar kind and when order does not matter, we use combinations. |
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The possible outcomes of tossing two coins are: {HH, HT, TH, TT}. Here, HT and TH are different, as in order matters. |
When tossing two coins, the possible outcomes are: {HH, HT, TT}. As order does not matter in combinations, we consider HT and TH as one. |
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Permutation formula: \(^nP_r = \frac {n!} {(n – r)!}\) |
Combination formula: \(^nC_r = \frac {n!} {[r! × (n – r)!]}\) |
By comparing the formulas of permutation and combination, let’s understand the relationship between permutation and combination.
When selecting and arranging r items from n, we can express the permutation as the product of r! And the combination of those r items.
\(^nP_r = \frac {n!} {(n – r)!}\)
We can rewrite it as:
\(^nP_r = \frac {(r! × n!)}{[r! × (n – r)! ]}\)
\(^nP_r = r! ×\ ^nC_r \)
Thus, the number of permutations is the product of the number of combinations and the ways to arrange the selected items (r!).
Here are some fun, easy-to-remember tips and tricks to help students and parents master the difference between permutations and combinations
Remember the golden rule that, while finding the permutation, position matters. On the other hand, to find the combination, position doesn’t matter.
You can help yourself before solving a problem by always asking if the order makes a difference. If they do, then it is a permutation problem and if it does not, then we have to find the combinations.
The easiest way to identify these formulas is to remember that, if the formula includes r! in the denominator, it’s a combination, because it removes duplicate orders.
If you are confused about permutations and combinations in the middle of a question, then remember that if we are arranging people, numbers, or letters, we must use permutation. On the other hand, if we are choosing people, numbers, or letters, then we must use combination.
To make your calculation faster while dealing with permutations, try counting ways to seat family members at dinner. For combinations, count ways to select friends for a group photo.
Students often confuse permutations and combinations, leading to errors. So we will be learning some common mistakes and ways to avoid them.
In real life, we use permutations and combinations from creating passwords to scheduling events. In this section, we will learn a few applications of the difference between permutations and combinations.
From a set of 5 different books, in how many ways can you select 3 books and arrange them on a shelf?
The number of ways to choose 3 books is 10.
The ways of arranging 3 books from a set of 5 are 60.
The number of ways to select books: \(^nC_r = \frac {n!} {[r! × (n – r)!]}\)
Here, n = 5 and r = 3
\(^5C_3 = \frac {5!} {[3! × (5 – 3)!]}\\ ^5C_3= \frac {5!} {[3! × 2!]}\\ ^5C_3= \frac {(5× 4× 3! )}{(3! ×2!)}\\ ^5C_3= \frac {(5× 4 )}{2!}\\ ^5C_3= \frac {5×4}{2×1}\\ ^5C_3=\frac {20}{2}\\ ^5C_3= 10\)
To find the ways of arranging 3 books on a shelf, we calculate the permutations:
\(^nP_r = \frac {n!} {(n – r)!}\)
Here, n = 5 and r = 3
\(^nP_r =\frac {5!} {(5 – 3)!}\\ ^5P_3= \frac {5!} {2!} \\ ^5P_3= \frac {(5 × 4 × 3 × 2!)} { 2!}\\ ^5P_3= 5 × 4 × 3 \\ ^5P_3= 60\)
In how many ways can you arrange 4 out of 7 different letters?
We can arrange the letters in 840 ways.
To find the ways of arranging 4 out of 7 different letters, we use the permutation formula.
\(^nP_r = \frac {n!} {(n – r)!}\)
Here, n = 7 and r = 4
\(nPr = \frac {7!}{(7 – 4)!}\\ ^7P_4 = \frac {7!}{3!} \\ ^7P_4= \frac {(7 × 6 × 5 × 4 × 3!)}{3!}\\ ^7P_4= 7 × 6 × 5 × 4 \\ ^7P_4= 840\)
How many ways can you form a team of 4 from 10 players?
The number of ways you can form a team of 4 from 10 players is 210.
To find how many ways we can form a team of 4 people from a group of 10, we use the combination formula
\(^nC_r = \frac {n!} {[r! × (n – r)!]}\)
Where n = 10 and r = 4
\(C(10, 4) = \frac {10! } {[4! × (10 – 4)!]}\\ ^{10}C_4 = \frac {10!}{(4! × 6!)}\\ ^{10}C_4= \frac {(10 × 9 × 8 × 7 × 6!)}{(4! × 6!)}\\ ^{10}C_4= \frac {(10 × 9 × 8 × 7)} {(4 × 3 × 2 × 1)}\\ ^{10}C_4= \frac {5040}{24}\\ ^{10}C_4= 210\)
In how many ways can 5 people be arranged in a line from a group of 9?
We can arrange them in 15120 ways
To find the ways to arrange 5 people in a line from a group of 9, we use the permutation formula
\(^nP_r = \frac {n!} {(n – r)!}\)
Here, n = 9 and r = 5
\(^9P_5 = \frac {9!} {(9 – 5)!}\\ ^9P_5= \frac {9!} {4!}\\ ^9P_5= \frac {(9 × 8 × 7 × 6 × 5 × 4!)} {4!}\\ ^9P_5= 15120\)
Out of 7 runners, how many ways can you select 3 to join a relay team?
In 35 ways, we can select the relay team
To find the number of ways to select 3 runners to join a relay team, we find the combination
\(^nC_r = \frac {n!} {[r! × (n – r)!]}\)
Here, n = 7 and r = 3
\(C(7,3) = \frac {7! }{ [3! × (7 – 3)!]}\\ ^7C_3= \frac {7!}{[3! × (7 – 3)!]}\\ ^7C_3= \frac {7! }{(3! × 4!)}\\ ^7C_3= \frac {(7 × 6 × 5 × 4!)}{(4! × 3 × 2 × 1)}\\ ^7C_3= \frac {(7 × 6 × 5)}{(3 × 2 × 1)}\\ ^7C_3= 35\)
Jaipreet Kour Wazir is a data wizard with over 5 years of expertise in simplifying complex data concepts. From crunching numbers to crafting insightful visualizations, she turns raw data into compelling stories. Her journey from analytics to education ref
: She compares datasets to puzzle games—the more you play with them, the clearer the picture becomes!






