Binomial Coefficient Calculator

Calculate binomial coefficients C(n,k), Pascal's triangle rows, permutations P(n,k), and multinomial coefficients with step-by-step factorial breakdowns.

C(10, 3)
120.00
Combinations: 10! / (3! × 7!) = 120.00
P(10, 3)
720.00
Permutations: 10! / (7!) = 720.00
n!
3,628,800.00
10! = 3,628,800.00
k!
6.00
3! = 6.00
(n−k)!
5,040.00
(10−3)! = 7! = 5,040.00
Multinomial Coefficient
N/A
Enter k values that sum to n (10). Currently: 3 = 3
C(n,k) / P(n,k) Ratio
0.166667
Ratio = 1/k! — shows how many permutations map to each combination
Sum of Pascal's Row
1,024.00
2^10 = 1,024.00 — sum of all C(10, 0..10)

Pascal's Triangle Row 10 — Visual

1.00
k=0
10.00
k=1
45.00
k=2
120.00
k=3
210.00
k=4
252.00
k=5
210.00
k=6
120.00
k=7
45.00
k=8
10.00
k=9
1.00
k=10

Pascal's Triangle (first 5 rows)

RowCoefficients
01.00
11.00 1.00
21.00 2.00 1.00
31.00 3.00 3.00 1.00
41.00 4.00 6.00 4.00 1.00

Factorial Breakdown

ExpressionValue
10!3,628,800.00
3!6.00
(103)! = 7!5,040.00
C(10,3)120.00
P(10,3)720.00
Planning notes, formulas, and examples

About the Binomial Coefficient Calculator

The binomial coefficient, written as C(n, k) or "n choose k," counts the number of ways to select k items from a set of n distinct items without regard to order. It appears throughout mathematics — in the Binomial Theorem for expanding (a + b)^n, in probability when calculating the chance of k successes in n trials, and in Pascal's triangle where each entry is a binomial coefficient.

The formula is C(n, k) = n! / (k! · (n − k)!). For example, C(5, 2) = 120 / (2 · 6) = 10, meaning there are exactly 10 ways to pick 2 items from 5. This calculator computes not only C(n, k) but also the related permutation count P(n, k) = n! / (n − k)!, the full Pascal's triangle row for n, and multinomial coefficients when you need to split items into more than two groups.

Understanding binomial coefficients is essential for students of algebra, probability, statistics, and computer science. Whether you're expanding polynomial expressions, counting lottery combinations, or analyzing algorithm complexity, the page gives you the result together with the factorial structure behind it.

When This Page Helps

Binomial coefficients are simple to state but easy to mis-handle once factorial growth becomes large or you need to compare combinations, permutations, and multinomial counts. This page is useful because it shows n!, k!, (n−k)!, the main coefficient, and the related counts together, so you can validate the structure of the calculation instead of trusting a single number.

How to Use the Inputs

  1. Enter n (total items) and k (items chosen) in the input fields.
  2. Select the mode, method, or precision options that match your binomial coefficient problem.
  3. Read n! first, then use k! to confirm your setup is correct.
  4. Try a preset such as "C(5,2)" to test a known case quickly.
Formula used
C(n, k) = n! / (k! × (n − k)!); P(n, k) = n! / (n − k)!; Multinomial = n! / (k₁! × k₂! × … × kₘ!)

Example Calculation

Result: n! shown by the calculator

Using the preset "C(5,2)", the calculator evaluates the binomial coefficient setup, applies the selected algebra rules, and reports n! with supporting checks so you can verify each transformation.

Tips & Best Practices

  • C(n, k) = C(n, n−k), so C(10,3) = C(10,7). Use whichever is easier.
  • For large n, the calculator avoids overflow by cancelling common factors.
  • Pascal's triangle row n contains all C(n, 0) through C(n, n).
  • The sum of all entries in Pascal's triangle row n is 2^n.

How This Binomial Coefficient Calculator Works

This calculator takes n (total items), k (items chosen), k₂ (optional, for multinomial), k₃ (optional, for multinomial) and applies the relevant binomial coefficient relationships from your chosen method. It returns both final and intermediate values so you can audit the process instead of treating it as a black box.

Interpreting Results

Start with the primary output, then use n!, k!, (n−k)!, Multinomial Coefficient to confirm signs, magnitude, and internal consistency. If anything looks off, change one input and compare the updated outputs to isolate the issue quickly.

Study Strategy

Sources & Methodology

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Frequently Asked Questions

  • Combinations C(n,k) count selections where order does not matter. Permutations P(n,k) count arrangements where order does matter. P(n,k) = C(n,k) × k!.