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Quants: Permutation and Combination
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Quants: Permutation and Combination

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Questions and Answers

What is the correct formula for calculating permutations of distinct items?

  • $ P(n, r) = n! $
  • $ P(n, r) = rac{n!}{(n - r)!} $ (correct)
  • $ P(n, r) = rac{n!}{r!(n - r)!} $
  • $ P(n, r) = rac{(n + r - 1)!}{r!(n - 1)!} $
  • If 5 books are arranged by picking 3 at a time, how many distinct arrangements can be made?

  • 60 (correct)
  • 10
  • 125
  • 20
  • In which scenario would a combination be more appropriate than a permutation?

  • Ordering 1st, 2nd, and 3rd place winners in a race.
  • Selecting toppings for a pizza. (correct)
  • Forming a password with specific letters.
  • Arranging books on a shelf.
  • What is the result of choosing 2 items from a set of 3 when repetition is allowed?

    <p>6</p> Signup and view all the answers

    Which of the following statements is true regarding permutations and combinations?

    <p>Permutations involve scenarios where order matters.</p> Signup and view all the answers

    What do you get when arranging the letters of the word 'BALLOON' considering the repetitions?

    <p>420</p> Signup and view all the answers

    If 8 different flowers can be chosen, how many ways can 4 flowers be selected without regard to order?

    <p>70</p> Signup and view all the answers

    What is the formula for combinations when items can be repeated?

    <p>$ C(n, r) = rac{(n + r - 1)!}{r!(n - 1)!} $</p> Signup and view all the answers

    When calculating $ P(5; 1, 2, 2) $, what does the result represent?

    <p>Arrangements of 5 letters with 1 distinct and 2 repeating</p> Signup and view all the answers

    What best defines permutations versus combinations?

    <p>Permutations involve arrangement, combinations involve selection.</p> Signup and view all the answers

    Study Notes

    Quants: Permutation and Combination

    Definitions

    • Permutation: An arrangement of objects in a specific order. Order matters.
    • Combination: A selection of objects without regard to the order. Order does not matter.

    Permutation

    • Formula:

      • ( P(n, r) = \frac{n!}{(n - r)!} )
      • Where ( n ) = total number of items, ( r ) = number of items to arrange, ( ! ) denotes factorial.
    • Types:

      • Distinct Permutations: All items are different.
      • Repeating Permutations: Some items are alike.
        • Formula: ( P(n; n_1, n_2, \ldots, n_k) = \frac{n!}{n_1! \cdot n_2! \cdots n_k!} )
    • Examples:

      • Arranging 3 books from a shelf of 5: ( P(5, 3) = \frac{5!}{(5 - 3)!} = 60 )
      • Arranging the letters of “BALLOON”: ( P(7; 1, 1, 2, 2, 1) = \frac{7!}{1!1!2!2!1!} = 420 )

    Combination

    • Formula:

      • ( C(n, r) = \frac{n!}{r!(n - r)!} )
      • Where ( n ) = total items, ( r ) = items chosen.
    • Types:

      • Distinct Combinations: All items are different.
      • Repeating Combinations: Some items can be chosen more than once.
        • Formula: ( C(n + r - 1, r) = \frac{(n + r - 1)!}{r!(n - 1)!} )
    • Examples:

      • Choosing 3 fruits from 5: ( C(5, 3) = \frac{5!}{3!2!} = 10 )
      • Choosing 2 toppings from 3 available types (with repetition allowed): ( C(3 + 2 - 1, 2) = C(4, 2) = 6 )

    Key Differences

    • Order:

      • Permutation: Order matters.
      • Combination: Order does not matter.
    • Usage:

      • Permutations are used in scenarios like race placements or password formation.
      • Combinations are used in scenarios like lottery selections or committee formations.

    Tips for Solving Problems

    • Identify whether order matters (use permutation) or does not matter (use combination).
    • Use factorial calculations to compute the number of arrangements or selections.
    • Break complex problems into smaller parts to simplify calculations.

    Definitions

    • Permutation: Arrangements where order is significant.
    • Combination: Selections where order is irrelevant.

    Permutation

    • Formula: ( P(n, r) = \frac{n!}{(n - r)!} )

      • ( n ): Total items, ( r ): Items to arrange, ( ! ): Factorial notation.
    • Types:

      • Distinct Permutations: All items are unique.
      • Repeating Permutations: Includes items that appear more than once.
      • Repeating Permutation Formula: ( P(n; n_1, n_2, \ldots, n_k) = \frac{n!}{n_1!\cdots n_k!} )
    • Examples:

      • Arranging 3 books from 5 yields ( P(5, 3) = 60 ).
      • Arranging letters in “BALLOON” leads to ( P(7; 1, 1, 2, 2, 1) = 420 ).

    Combination

    • Formula: ( C(n, r) = \frac{n!}{r!(n - r)!} )

      • ( n ): Total items, ( r ): Items selected.
    • Types:

      • Distinct Combinations: All selections are unique.
      • Repeating Combinations: Selections allow for duplicates.
      • Repeating Combination Formula: ( C(n + r - 1, r) = \frac{(n + r - 1)!}{r!(n - 1)!} )
    • Examples:

      • Choosing 3 fruits from 5 results in ( C(5, 3) = 10 ).
      • Selecting 2 toppings from 3 (with repeats) gives ( C(4, 2) = 6 ).

    Key Differences

    • Order:
      • Permutation: Order is crucial.
      • Combination: Order is unimportant.
    • Usage:
      • Permutations: Suitable for situations like race rankings or password setups.
      • Combinations: Appropriate for lottery picks or committee selections.

    Tips for Solving Problems

    • Assess if arrangement or selection matters to determine whether to use permutations or combinations.
    • Apply factorial calculations for determining counts of arrangements or selections.
    • Simplify complex problems by breaking them down into manageable components.

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    Description

    Test your understanding of permutations and combinations with this quiz. Dive into the definitions, formulas, and types of arrangements and selections that make up these fundamental concepts in combinatorics. Perfect for students looking to reinforce their knowledge in mathematics.

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