Explore nCr results, symmetry, repetition, and quick comparisons. Enter values, review outputs, and download reports. Simple visuals reveal selection patterns across every valid input.
| Scenario | n | r | Mode | Formula Applied | Result |
|---|---|---|---|---|---|
| Choose 2 tools from 5 | 5 | 2 | Without repetition | C(5,2) | 10 |
| Choose 3 students from 10 | 10 | 3 | Without repetition | C(10,3) | 120 |
| Choose 10 numbers from 20 | 20 | 10 | Without repetition | C(20,10) | 184,756 |
| Choose 3 scoops from 4 flavors | 4 | 3 | With repetition | C(4+3-1,3) | 20 |
| Choose 5 balls from 6 bins | 6 | 5 | With repetition | C(6+5-1,5) | 252 |
C(n, r) = n! / (r! × (n − r)!)
Use this when order does not matter and each item can only be chosen once. The calculator also applies symmetry, so C(n, r) = C(n, n − r).
C(n + r − 1, r) = (n + r − 1)! / (r! × (n − 1)!)
Use this when order still does not matter, but the same item type may be selected more than once. This is the classic stars-and-bars counting model.
A combination counts how many unordered groups can be formed from a larger set. It ignores arrangement, so selecting A then B is the same as selecting B then A.
Use combinations when order does not matter. Use permutations when order matters. Team selection, menu bundles, and lottery picks often use combinations.
Without repetition, each item can appear only once. With repetition, the same item type can be chosen again. The two cases use different formulas.
Combination counts can grow extremely fast. A log10 scale keeps the graph readable and makes growth trends easier to compare across small and large results.
Choosing r items automatically determines which n − r items were not chosen. Those two views count the same collection of outcomes, so the totals are identical.
Yes, it can estimate very large values with scientific notation. Exact whole-number output is shown for moderate sizes to keep the page fast and practical.
It shows the probability of one specific unordered selection if every valid combination is equally likely. For example, 1 in 120 means one exact group among 120 possible groups.
It helps in probability, statistics, coding, scheduling, inventory grouping, classroom selection, genetics, card analysis, and any task involving unordered choices.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.