Combinations Calculator (nCr)
Calculate the number of ways to choose r items from n total items
๐ Examples, Rules & Help
โกQuick Examples of Combinations
๐Combinations Formula
Where n = total number of items, r = number of items to choose, and ! represents factorial
๐How to Calculate Combinations
How to Calculate
Step 1: Identify n (total items) and r (items to choose)
Step 2: Calculate n! (n factorial)
Step 3: Calculate r! (r factorial)
Step 4: Calculate (n-r)! ((n-r) factorial)
Step 5: Apply formula: C(n,r) = n! รท (r! ร (n-r)!)
Example: Choose 3 items from 5 total (C(5,3))
โข n = 5, r = 3
โข n! = 5! = 5 ร 4 ร 3 ร 2 ร 1 = 120
โข r! = 3! = 3 ร 2 ร 1 = 6
โข (n-r)! = (5-3)! = 2! = 2 ร 1 = 2
โข C(5,3) = 120 รท (6 ร 2) = 120 รท 12 = 10
Understanding Combinations
Combinations count the number of ways to choose r items from n total items
Key property: Order doesn't matter
Example: Choosing 2 people from (Alice, Bob, Carol) gives 3 combinations: (Alice,Bob), (Alice,Carol), (Bob,Carol)
Formula Application
The combination formula uses factorials to account for all arrangements
Why divide by r!? Removes arrangements within selected group
Why divide by (n-r)!? Removes arrangements within unselected group
Special Cases
nC0 = 1: One way to choose nothing
nCn = 1: One way to choose everything
nC1 = n: n ways to choose one item
nCr = nC(n-r): Symmetry property
๐Real-World Applications
โFrequently Asked Questions
What's the difference between combinations and permutations?
Why do we divide by factorials in the formula?
Can r be larger than n?
What does nC0 equal and why?
๐ฏCommon Use Cases
๐ฏ Competition & Games
- โข Lottery number combinations
- โข Poker hand possibilities
- โข Tournament bracket arrangements
- โข Team formation scenarios
๐ฅ Group Selection
- โข Committee formation
- โข Job interview candidate selection
- โข Study group composition
- โข Event planning teams
๐งช Scientific Applications
- โข Clinical trial participant selection
- โข Genetic combination analysis
- โข Chemical compound possibilities
- โข Statistical sampling methods
๐ผ Business Strategy
- โข Investment portfolio combinations
- โข Product feature selection
- โข Market segment targeting
- โข Resource allocation scenarios