Calculadora de Combinaciones

Calcula el número de combinaciones posibles al elegir r elementos de un conjunto de n.

Combinaciones

C(10, 3) = 120

n!

10! = 3,628,800

r!

3! = 6

(n-r)!

(10-3)! = 5,040

Combinaciones

Fórmula: n! / (r! × (n-r)!)

Valor rCombinaciones
C(10, 0)1
C(10, 1)10
C(10, 2)45
C(10, 3)120
C(10, 4)210
C(10, 5)252
C(10, 6)210
C(10, 7)120
C(10, 8)45
C(10, 9)10
C(10, 10)1

Comprensión de las Combinaciones

What Are Combinations?

In mathematics, a combination is a selection of items from a larger set where the order of selection does not matter. If you have a deck of 52 cards and want to know how many different 5-card hands are possible, you use combinations. The answer is C(52,5) = 2,598,960 possible hands. This fundamental concept appears throughout probability, statistics, and everyday problem-solving.

The Combination Formula

The number of combinations of n items taken r at a time is calculated using the formula C(n,r) = n! / (r! × (n-r)!), where the exclamation mark denotes factorial. A factorial is the product of all positive integers up to that number. For example, 5! = 5 × 4 × 3 × 2 × 1 = 120. The formula divides by r! and (n-r)! to eliminate counting the same selections in different orders.

Combinations vs Permutations

The key difference is whether order matters. Combinations count selections where order does not matter (choosing 3 flavors of ice cream). Permutations count arrangements where order matters (arranging 3 books on a shelf). The permutation formula is P(n,r) = n! / (n-r)!, which is always greater than or equal to the combination count. When r = n, there is only one combination but n! permutations.

Real-World Applications

Combinations appear in lottery probability calculations (choosing 6 numbers from 49), team selection (choosing 5 players from 12), menu planning (choosing 3 dishes from 10), committee formation, and quality control sampling. In computer science, combinations are used in algorithm analysis, cryptography, and network design. The binomial coefficient C(n,r) also appears in the binomial theorem and Pascal's triangle.

Properties of Combinations

Several important properties make combinations easier to work with. C(n,r) = C(n,n-r), known as the symmetry property. C(n,0) = 1 (there is one way to choose nothing). C(n,1) = n. C(n,n) = 1. The sum of all C(n,r) for r from 0 to n equals 2^n. These properties are useful for verification and simplification in combinatorial calculations.

Ejemplo Práctico

Scenario: Committee Selection

A company needs to form a 3-person committee from 10 employees. Using combinations: C(10,3) = 10! / (3! × 7!) = 120 possible committees. If 4 of the 10 employees are women, the number of committees with exactly 2 women is C(4,2) × C(6,1) = 6 × 6 = 36 possible committees.

Preguntas Frecuentes

¿Qué es una combinación?

Una combinación es una selección de r elementos de un conjunto de n elementos donde el orden NO importa. Por ejemplo, elegir 3 sabores de helado de 10 opciones.

¿Cuál es la diferencia entre combinación y permutación?

En combinación el orden no importa (elegir {A,B,C} = elegir {C,B,A}). En permutación el orden sí importa (ABC ≠ CBA). Las combinaciones siempre son ≤ que las permutaciones.

¿Cómo se calcula C(n,r)?

C(n,r) = n! / (r! × (n-r)!). Por ejemplo, C(5,2) = 5!/(2!×3!) = 120/(2×6) = 10 formas de elegir 2 elementos de 5.

¿Qué es el coeficiente binomial?

El coeficiente binomial C(n,r), también escrito como nCr, es el número de formas de elegir r elementos de n. Aparece en el Triángulo de Pascal y en el Binomio de Newton.

¿Para qué se usan las combinaciones?

Se usan en probabilidad, estadística, loterías, diseño de experimentos, teoría de grafos, criptografía y muchas áreas más de las matemáticas aplicadas.

Disclaimer: Esta calculadora usa la fórmula estándar de combinaciones C(n,r) = n! / (r! × (n-r)!). Los resultados son exactos para los parámetros introducidos.

Fuentes y Referencias

  1. Wikipedia. "Combination." en.wikipedia.org
  2. Wikipedia. "Binomial coefficient." en.wikipedia.org
  3. Wikipedia. "Pascal's triangle." en.wikipedia.org

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