1 / 12

3.7 Counting Techniques: Permutations

3.7 Counting Techniques: Permutations. If we line up all the students in this class, what is the probability that Aninidita and Hanine are standing together? If I randomly create groups of 3, what is the probability that Marian, Ngoc, and Sumi are all in the same group?

wayde
Télécharger la présentation

3.7 Counting Techniques: Permutations

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. 3.7 Counting Techniques: Permutations

  2. If we line up all the students in this class, what is the probability that Aninidita and Hanine are standing together? • If I randomly create groups of 3, what is the probability that Marian, Ngoc, and Sumi are all in the same group? all in different groups? • These require techniques to count the outcomes of more complex experiments • combinatorics: permutations and combinations

  3. How many different ways can we line up the students in this class? Let’s try it! (or at least, let’s try a small sample…)

  4. B C A C B A B C A C B A C B A Counting Techniques • Example: Placing 3 objects, A, B, C in line for a game Resulting Order First Second Third A BC ACB BAC BCA CAB CBA # different orders possible = Multiplicative = 3 x 2 x 1 = 3! 6

  5. Factorial Notation n! = n(n-1)(n-2)…(3)(2)(1) 4! = 4(3)(2)(1) = 24 • n! represents the number of ways n different objects can be ordered • that is, the number of ways n objects can be selected to create ordered arrangements of size n

  6. Example 1 • How many ways can we arrange Andrey, Bibi, Charles, Deb, and Eunice in a line-up? Note: you can use the x! button on your calculator!

  7. Permutation • A ordered arrangement of n different objects taken r at a time (n! means we arrange all n objects; a permutation only arranges r of those n objects) • The total number of possible arrangements, or permutations, of r objects taken from a set of size n is denoted by P(n, r) = nPr

  8. How? • How many ways can we arrange 3 objects from a group of 6? 6 5 4 We write:

  9. Example 3 • How many ways can we arrange 4 books out of 10?

  10. Error on the calculator! Example 4 You can also use the nPr button on your calculator. • How many ways can we arrange 30 objects out of 100? nPr Type: 100 30 =

  11. Permutations with Identical Elements • Consider DOL1L2 • # permutations = 4! = 24 • Examples: DOL1L2DOL2L1 DL1L2O DL2L1O L1L2OD L2L1OD DOLLDOLL DLLO DLLO LLOD LLOD • The L’s are the same • Out of 24 arrangements, only 12 are different from each other • The number of different arrangements is

  12. Permutations with Identical Elements • The number of permutations of a set of n objects containing a identical objects of one kind, b identical objects of a second kind, c identical objects of a third kind, etc., is

More Related