Combination Calculator
Calculate the number of possible combinations when selecting items from a set. Useful for lottery odds, team selections, and statistical analysis.
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Understanding Combinations
In mathematics, a combination is a selection of items from a collection, such that the order of selection does not matter. Combinations are used to determine the number of possible ways to select r items from a set of n items, regardless of order.
Combination Formula
C(n,r) = ₙCᵣ = (n r) = n! / (r! × (n-r)!)
Where:
- n is the total number of items
- r is the number of items to be selected
- n! represents the factorial of n (n × (n-1) × (n-2) × ... × 2 × 1)
- 0! = 1 by definition
Difference Between Combinations and Permutations
Combinations
- Order does not matter
- Formula: n! / (r! × (n-r)!)
- Example: Selecting a team of 3 people from 10 candidates
- Used for lottery numbers, poker hands, committee selections
Permutations
- Order matters
- Formula: n! / (n-r)!
- Example: Ranking top 3 finishers in a race with 10 participants
- Used for PIN codes, passwords, race outcomes
Example: Poker Hand
In a standard deck of 52 cards, how many different 5-card poker hands are possible?
This is a combination problem where we need to select 5 cards from 52 cards, and the order doesn't matter.
C(52,5) = 52! / (5! × (52-5)!) = 52! / (5! × 47!) = 2,598,960
There are 2,598,960 different possible 5-card poker hands.
Applications of Combinations
- Lottery and Gambling: Calculating the odds of winning in games where order doesn't matter
- Team Selection: Determining how many different teams can be formed from a group of players
- Genetics: Calculating possible genetic combinations
- Statistics: Binomial probability distribution and hypothesis testing
- Cryptography: Key generation and security analysis
- Chemistry: Molecular configurations and compound formation
- Tournament Planning: Scheduling matches and competitions
Properties of Combinations
Symmetry Property: C(n,r) = C(n,n-r)
Pascal's Triangle: C(n,r) = C(n-1,r-1) + C(n-1,r)
Sum of Combinations: C(n,0) + C(n,1) + C(n,2) + ... + C(n,n) = 2^n
Special Cases:
- C(n,0) = C(n,n) = 1
- C(n,1) = C(n,n-1) = n
Understanding combinations is essential for probability theory, statistics, and many real-world applications where we need to calculate the number of possible ways to select items without considering their order.
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Frequently Asked Questions
A combination is a selection of items from a collection, such that the order of selection does not matter. In other words, it's a way to calculate the number of possible ways to select r items from a set of n items, regardless of the order. The formula for combinations is: C(n,r) = n! / (r! × (n-r)!), where n! represents the factorial of n.
The key difference is whether the order of selection matters:
- Combinations: Order doesn't matter (e.g., selecting a team of 3 people from 10 candidates)
- Permutations: Order matters (e.g., ranking top 3 finishers in a race with 10 participants)
Mathematically, the permutation formula includes all possible arrangements of the selected items, while the combination formula does not. Permutation formula: P(n,r) = n! / (n-r)!
To calculate combinations by hand:
- Identify n (total number of items) and r (number of items to select)
- Calculate n! (n factorial): n × (n-1) × (n-2) × ... × 2 × 1
- Calculate r! (r factorial): r × (r-1) × (r-2) × ... × 2 × 1
- Calculate (n-r)! in the same way
- Apply the formula: C(n,r) = n! / (r! × (n-r)!)
For example, to calculate C(5,3): 5! / (3! × (5-3)!) = 120 / (6 × 2) = 120 / 12 = 10
- Lottery and gambling: Calculating odds of winning (e.g., picking 6 numbers from 49)
- Sports team selection: Number of ways to select a team from a pool of players
- Card games: Calculating poker hand probabilities
- Statistical sampling: Determining possible sample combinations
- Molecular biology: Analyzing possible genetic combinations
- Committee formation: Calculating ways to form committees from a larger group
- Cryptography: Analyzing possible combinations for security systems
Factorials are used in the combination formula because they efficiently count the number of ways to arrange items. The numerator n! represents all possible arrangements of n items. Since in combinations the order doesn't matter, we divide by r! to remove the redundant arrangements of the r selected items. We also divide by (n-r)! to remove redundant arrangements of the unselected items. This gives us exactly the number of unique ways to select r items from n items, regardless of order.
Combinations have several important properties:
- Symmetry: C(n,r) = C(n,n-r) - selecting r items is the same as not selecting (n-r) items
- Pascal's Identity: C(n,r) = C(n-1,r-1) + C(n-1,r) - used in Pascal's Triangle
- Special Cases: C(n,0) = C(n,n) = 1 - there's exactly one way to select none or all items
- Sum of Row: C(n,0) + C(n,1) + ... + C(n,n) = 2^n - total number of possible subsets
This calculator can handle values of n up to 170. Beyond this, factorial calculations exceed JavaScript's maximum safe integer limits. For most practical applications, this limit is more than sufficient. If you need to calculate combinations with extremely large numbers, specialized mathematical software with arbitrary-precision arithmetic would be required. Note that even for moderate values of n, the number of combinations can become extremely large.
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