Team selection
How many ways can you choose 3 speakers from 10 candidates? This is a classic combinations problem because only the final group matters, not the order you listed them in.
Calculate unordered selections with and without repetition using exact combinatorics formulas. Useful for probability setup, sampling, menu choices, team selection, bundle planning, and classroom math problems.
Use this free combinations calculator to find how many unordered selections are possible from a larger set. It supports standard combinations without repetition and combinations with repetition, making it useful for probability, statistics, sampling, inventory choices, classroom combinatorics, and planning problems. If you want to connect the result to event likelihood next, continue with the Probability Calculator, or browse more tools in Math & Statistics Calculators.
Enter n items and r selections to calculate how many unique groups are possible when order does not matter.
Use whole numbers only. In standard mode, n is the total number of distinct items and r is how many you choose.
Standard combinations count unordered selections without reuse. The same group is counted once no matter how you arrange it.
This result tells you how many unique groups are possible once duplicate ordering is removed. That is why combinations are often used before moving into probability, lottery odds, sample design, product bundle planning, or card-hand analysis.
This tool counts how many distinct selections are possible when the order of the chosen items does not matter. That makes it useful for committee selection, menu choices, bundle construction, sample picking, and many probability setup problems.
A combinations formula removes duplicate arrangements that represent the same group. For standard combinations, nCr divides factorial-based arrangements by the number of internal orderings. For repetition cases, the formula shifts to C(n + r - 1, r).
How many ways can you choose 3 speakers from 10 candidates? This is a classic combinations problem because only the final group matters, not the order you listed them in.
If customers can choose a fixed number of options from a larger list, combinations tell you how many distinct bundles or menus are possible.
Lottery problems, card hands, and sample selection often begin with combinations. After counting possible groups, use the Probability Calculator to turn those counts into actual event likelihoods.
If you need to convert this count into event odds next, continue with the Probability Calculator. If you are building a broader data workflow, the Standard Deviation Calculator and Mean Calculator help cover spread and averages after your combinatorics setup is complete.
Combinations are the right tool whenever you care about which items were selected but not the order they appear in. That distinction prevents overcounting and makes later probability work accurate.
Allowing the same choice more than once increases the number of possible groups. That is why combinations with repetition use a different formula than standard nCr.
Combinations often sit upstream of probability, sampling, and statistical modeling. They help define the size of a choice space before you analyze outcomes, averages, or variability.
It calculates how many unordered selections are possible when choosing r items from n total items. Because order does not matter in combinations, choosing A, B, C is the same as choosing C, B, A.
Combinations Calculator is part of the Math & Statistics Calculators collection. If you want a broader view of similar workflows, open the Math & Statistics Calculators category page or browse all QuickTools categories.
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