📊 Statistics
Order matters = Permutation. Order does not matter = Combination.
Permutations vs. Combinations — Ask: does rearranging the selection give a different outcome? Yes means permutation. No means combination.
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Permutations — order matters
Use permutations when the order of selection matters — like passwords, race results (1st, 2nd, 3rd place), or seating arrangements. Formula: nPr = n! / (n−r)!.
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Combinations — order doesn't matter
Use combinations when only the selection itself matters, not the order — like committees, card hands, or pizza toppings. Formula: nCr = n! / [r!(n−r)!].
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The key diagnostic question
Ask yourself: if I rearranged this same selection into a different order, would it count as a different outcome? If yes, use permutations. If no (it's the same outcome regardless of order), use combinations.
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How the two formulas relate
nCr = nPr / r! — combinations are permutations divided by the number of ways to rearrange each group internally (r!), since combinations don't care about that internal ordering.
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A club with 10 members needs to choose a President, Vice President, and Treasurer (three distinct roles). Since the roles are distinct — being President is different from being Treasurer — order matters. Use permutations: 10P3 = 10!/(10-3)! = 10×9×8 = 720.
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Now the same club needs to choose a 3-person committee, where all three members have equal, undifferentiated roles. Since there's no distinction between the members once chosen (it's just "the committee"), order doesn't matter. Use combinations: 10C3 = 10!/[3!(10-3)!] = 120.
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Notice: 720/120 = 6, and 3! = 6 — confirming the relationship nCr = nPr/r!, since there are 3! = 6 ways to rearrange any specific group of 3 people internally.
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This distinction — distinct roles (permutation) versus an undifferentiated group (combination) — is the exact diagnostic question to ask on any counting problem.

Exams test whether you can correctly determine whether a scenario calls for a permutation or combination by asking whether order/distinct roles matter, and whether you can apply the correct formula (nPr or nCr).

The most common trap is failing to ask the key diagnostic question (does rearranging change the outcome?) and instead guessing based on surface features of the problem — always explicitly check whether the roles or order matter before choosing a formula.

1. When should you use a permutation instead of a combination?
When the order of selection matters (distinct roles or positions).
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2. What is the formula for permutations?
nPr = n! / (n−r)!.
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3. What is the formula for combinations?
nCr = n! / [r!(n−r)!].
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4. For a club choosing a President, VP, and Treasurer from 10 members, would you use a permutation or combination, and why?
Permutation, since the three roles are distinct, so order/role assignment matters.
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5. How does nCr relate to nPr?
nCr = nPr / r! — combinations divide out the r! ways to rearrange each selected group internally.
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