Last updated on June 12th, 2025
Combinations, also called ‘selection’ is a method we use to select items from a given set of items where the order of selection does not matter. Combinations are different from arrangements or permutations where the order of selection does matter.
Combinations are selections that are made by taking a few or all objects, regardless of their arrangements. In math, the combination means “selection of things” where we do not intend to arrange the items, we intend to only select them. For example, lottery numbers are combinations because the order in which the numbers are drawn does not matter. As long as the numbers are present, the order does not matter. This gives a huge number of possible combinations, which is why winning a lottery is difficult.
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Now that we know what combinations are, let us learn about the formula that we use to easily find the number of possible combinations of objects. The formula to calculate the number of combinations is:
C(n,r) = n! / r!(n-r)!
Where:
Let us take an example,
If there are 5 different fruits and you want to pick 2, the number of ways you can select is
C(n,r) = n! / r!(n-r)! = C(5,2) = 5! / 2!(5-2)! = 5! / 2!3! = 5 × 4 × 3 × 2 × 1 / (2 × 1)(3 × 2 × 1) = 10
So there are different ways to choose 2 fruits from a total number of 5 fruits.
When learning about combinations, it is important to know whether the order matters or not. To understand this distinction we need to understand the difference between permutations and combinations as it can be quite confusing to know when to use permutations or combinations.
Permutation | Combination |
A permutation is an arrangement of objects in a specific order. Here is the order of the objects matters. | Combination is a selection of objects in any order. In combinations, the order of the objects does not matter. |
P(n,r) = n! / (n-r)! | C(n,r) = n! / r!(n-r)! |
We use permutations in ranking, seating arrangements or even creating our passwords. | Combinations are used in lotteries, forming a team. |
Example: If there are 10 contestants and 3 are chosen for 1st, 2nd, and 3rd place ranking: P(10,3) = 10! / (10-3)! =720 |
Example: Selecting any 3 winners from 10 contestants without any ranking: C(10,3) = 10 / !3!(10-3)! = 120 |
Combinations are used widely in our daily lives. Here are a few real-world applications of combinations.
One of the most common uses of combinations, in lotteries a set of numbers is selected. The order in which it is drawn does not matter, this makes it a combination.
When selecting players for a team, the order in which they are chosen does not matter, what matters is who is selected.
When drawing cards for a game, the order of the cards does not matter. What matters is the cards you have. This makes it a combination.
When learning about combinations, students might often make mistakes. So here are a few common mistakes and how to avoid them:
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How many ways can you choose 4 books out of 8?
There are 70 combinations to choose 4 books out of 8.
C(n,r) = n! / r!(n-r)!
C(8,4) = 8! / 4!(8-4)! = 8! / 4!4! = 40320 / 24 × 24 = 70
How many combinations are there if we choose 0 items from 15?
1
C(15,0) = 1. This is because 0! = 1.
Out of 12 applicants, a manager needs to form a team of 4 employees. How many different teams can be formed?
There are 495 combinations to form a team of 4.
C(n,r) = n! / r!(n-r)!
C(12,4) = 12! / 4!(12-4)! = 12! / 4!8! = 495.
In the word Brave there are 5 distinct letters, how many unique combinations of 3 letters can be selected?
10
Since the order does not matter when selecting letters, we will use the combination formula.
C(n,r) = n! / r!(n-r)!
C(5,3) = 5! / 3!(5-3)! = 5! / 3!2! = 20 2 = 10.
A chef wants to create a new dish by choosing 4 spices from a collection of 15. How many different spice blends are possible?
1365 combinations
C(n,r) = n! / r!(n-r)!
C(15,4) = 15! / 4!(15-4)! = 15! / 4!11! = 1365
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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!