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Permutation & Combination Calculator

Calculate P(n,k) and C(n,k) with Step-by-Step Derivation

Total Items n
Selected Items k

Permutation & Combination Formulas

Permutation: P(n,k) = n! / (n-k)!
Combination: C(n,k) = n! / (k! × (n-k)!)
Factorial: n! = n × (n-1) × ... × 2 × 1

Permutation considers order, combination does not. Both are fundamental in probability, statistics and discrete math.

n and k must be non-negative integers, k ≤ n. Large values will show in scientific notation.

What are Permutation & Combination?

Permutation: select k items from n and arrange in order (order matters). Combination: select k items without considering order (order does not matter). Widely used in probability, algorithms and statistics.

Permutation

P(n,k)=n!/(n-k)! Example: choose president & vice-president from 3 students: P(3,2)=6.

Combination

C(n,k)=n!/(k!(n-k)!) Example: choose 2 representatives from 3 students: C(3,2)=3.

Factorial

n! = total permutations of n items. 0! = 1 (defined).

Binomial Coefficient

C(n,k) = coefficient in binomial expansion (a+b)ⁿ. Can be calculated with Pascal’s triangle.

💡 Example: n=5, k=3. P(5,3)=5!/2!=120/2=60. C(5,3)=5!/(3!×2!)=120/(6×2)=10.

Applications

Probability Cryptography Math Exams Algorithm Analysis Statistical Sampling

Frequently Asked Questions

What is the difference between permutation and combination?
Permutation considers order (AB ≠ BA), combination does not (AB = BA). Formula: P(n,k)=n!/(n-k)! , C(n,k)=n!/(k!(n-k)!). Choosing president & vice-president is permutation; choosing committee members is combination.
Are P(n,k) and A(n,k) the same?
Yes, both represent permutations. A(n,k) (Arrangement) is common in Chinese textbooks, P(n,k) (Permutation) is international standard. Formula: P(n,k)=A(n,k)=n!/(n-k)!.
What is 0! and why?
0! = 1 (mathematical definition). There is exactly 1 way to arrange an empty set. The formula C(n,0)=1 requires 0! = 1 to be valid.
Real-life applications of permutation & combination?
Lottery odds, cryptography (password combinations), tournament scheduling, statistical sampling, algorithm complexity analysis, and combinatorial optimization.

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