An introduction to permutations

Slides:



Advertisements
Similar presentations
Slideshow 1, Mr Richard Sasaki, Room 307 Rounding Numbers – Part 1.
Advertisements

Slideshow 5, Mr Richard Sasaki, Room 307
Slideshow 16, Mathematics Mr Richard Sasaki Room 307.
Multiplying and dividing positive and negative numbers Slideshow 5, Mr Richard Sasaki Room 307.
An Introduction to Venn Diagrams Slideshow 55, MathematicsSlideshow 55, Mathematics Mr Richard Sasaki, Room 307Mr Richard Sasaki, Room 307.
Adding and Subtracting Polynomial Fractions
Solving Quadratic Equations by Factorisation Slideshow 19 Mathematics Mr Sasaki Room 307.
Likelihood and Randomness Slideshow 48, Mathematics Mr Richard Sasaki, Room 307.
Applications of Expansion and Factorisation SLIDESHOW 17 MATHEMATICS MR SASAKI ROOM 307.
Building Tables for Inverse Proportionality Slideshow 30, Mathematics Mr Richard Sasaki Room 307.
An Introduction to 2-D Shape Slideshow 15, Mathematics Mr Richard Sasaki, Room 307.
FINDING GRAPH NAMES WHEN GIVEN CO-ORDINATES SLIDESHOW 30, MATHEMATICS MR RICHARD SASAKI, ROOM 307.
An introduction to Circle Theorems – PART 2
10.3 – Using Permutations and Combinations Permutation: The number of ways in which a subset of objects can be selected from a given set of objects, where.
Permutations, Combinations, and Counting Theory AII.12 The student will compute and distinguish between permutations and combinations and use technology.
An introduction to Combinations
Relationships between unknowns and Simultaneous Equations SLIDESHOW 11, MR RICHARD SASAKI ROOM 307, MATHEMATICS.
Multiplying and Dividing Surds Slideshow 7, Mr Richard Sasaki, Room 307.
Slideshow 10, Mathematics Mr Richard Sasaki, Room 307 Powers and Indices.
Slideshow 6, Mathematics Room 307, Mr. Sasaki.  Multiplication and division drill  Learn what a monomial is  Recall what happens when we multiply something.
Rounding Numbers – Part 2 Slideshow 2, Mr Richard Sasaki, Room 307.
Independent Events Slideshow 54, Mathematics Mr Richard Sasaki, Room 307.
USING THE FORMULA (SOLVING QUADRATICS) Slideshow 18, Mathematics Mr Richard Sasaki, Room 307.
VENN DIAGRAMS Slideshow 57, Mathematics Mr Richard Sasaki, Room 307.
Independence and Tree Diagrams Slideshow 56, Mathematics Mr Richard Sasaki, Room 307.
Square Rooting Equations Slideshow 19, Mathematics, Mr Richard Sasaki, Room 307.
2.2 Permutations (Textbook Section 4.6). Recall Factorial Notation  The number of ways to arrange n objects into n spots is n! (read “!” a “factorial”)
{ Solving Equations Slideshow 9, Mathematics Room 307, Mr Richard Sasaki.
Slideshow 10, Mathematics Room 307, Mr Richard Sasaki Changing the Subject of Formulae.
Permutations and Combinations Section 2.2 & 2.3 Finite Math.
Slideshow 3 Mr Richard Sasaki Room 307 Moduli. Vocabulary Check Vocabulary Check Understanding the meaning of modulus Understanding the meaning of modulus.
Slideshow 49, Mathematics Mr Richard Sasaki Room 307
Pythagorean Triples – Part 2 Slideshow 39, Mathematics Mr. Richard Sasaki, Room 307.
Building and Solving Equations Slideshow 23, Mathematics Mr Richard Sasaki Room 307.
SOLVING SIMULTANEOUS EQUATIONS GRAPHICALLY Slideshow 32, Mathematics Mr Richard Sasaki, Room 307.
Permutations, Combinations, and Counting Theory
Calculating Square Roots – Part 2 Slideshow 4, Mr Richard Sasaki, Room 307.
Drawing Quadratic Curves Slideshow 27, Mathematics Mr. Richard Sasaki, Room 307.
Circles and More Symmetry Slideshow 38, Mathematics Mr Richard Sasaki Room 307.
Equations with Decimal and Fractional Terms Slideshow 22, Mathematics Mr Richard Sasaki Room 307.
An Introduction to Equations Slideshow 17, Mathematics Mr Richard Sasaki Room 307.
Applications of Quadratic Equations Slideshow 23, Mathematics Mr Richard Sasaki, Room 307.
Equations with Numbers and Unknowns on Both Sides Slideshow 21, Mathematics Mr Richard Sasaki Room 307.
Drawing Quadratic Curves – Part 2 Slideshow 28, Mathematics Mr. Richard Sasaki, Room 307.
Special Topics. Calculating Outcomes for Equally Likely Events If a random phenomenon has equally likely outcomes, then the probability of event A is:
Probability and Counting Rules 4-4: Counting Rules.
Linear Sequences Slideshow 7, Room 307 Mr Richard Sasaki, Mathematics Slideshow 7, Room 307 Mr Richard Sasaki, Mathematics.
DRAWING LINEAR FUNCTIONS AS GRAPHS Slideshow 27, Mathematics Mr Richard Sasaki, Room 307.
Slideshow 1, Mathematics Mr Richard Sasaki Room 307 Room 307 Collecting Like Terms.
Permutations and Combinations. Fundamental Counting Principle Fundamental Counting Principle states that if an event has m possible outcomes and another.
Counting Principle part 2 I. Math symbols and formulas for Counting Principles. A) Basic Counting Principle = m x n where you have m things and n things.
Slideshow 22, Mathematics Mr Richard Sasaki, Room 307
Permutations and Combinations
The Counting Principle
Adding and Subtracting Polynomials – Part 2
Slideshow 22, Mathematics Mr Richard Sasaki
Slideshow 10, Mr Richard Sasaki, Mathematics
Expanding brackets and substitution
Drawing Quadratic Curves – Part 2
Applications of Expansion and Factorisation
Slideshow 24, Mathematics Mr Richard Sasaki, Room 307
Equations of Lines in Another Format
Positive and Negative Numbers
An Introduction to Direct and Inverse Proportion
Inequalities and the Number Line
Calculating Square Roots – Part 2
Slideshow 14 Mr Richard Sasaki
Using Permutations and Combinations
10.3 – Using Permutations and Combinations
Presentation transcript:

An introduction to permutations Slideshow 60, Mathematics Mr Richard Sasaki, Room 307

Objectives Understand the meaning of a permutation Recall how to calculate permutations with repetition (replacement) Learn how to calculate permutations without repetition (without replacement)

Permutations What is a permutation? A permutation is an arrangement of objects (numbers, letters, words etc…) in a specific order. Let’s list the possible ways we can pick two numbers from 1, 2 and 3 where repetition is okay. If 𝑛 is the # of possibilities and 𝑟 is the # of times we choose, there are… 1, 1 2, 1 3, 1 1, 2 2, 2 3, 2 1, 3 2, 3 3, 3 𝑛 𝑟 permutations.

Permutations with repetition We have seen this before. If we use this formula, we can easily calculate the number of permutations possible. Example Three meetings will take place next week and are possible to happen on any day of the week. It is possible for one, two or all three meetings to take place on a single day. How many possible ways are there for the meetings to take place? 𝑛=7, 𝑟=3, 𝑛 𝑟 ⇒ 7 3 =343 ways

36 20 6 8 36 4 81 Months have differing numbers of days. 365.

Permutations without repetition So, permutations with repetition are simple! But without repetition (where a value can’t appear twice) is more complicated. Let’s see the difference. Example (repetition) Example (without repetition) A four digit number is made where zero is allowed in all four positions. How many permutations are there? ? ? ? ? 0 ~ 9; four times 𝑛 𝑟 = 10 4 10 possible 9 possible 8 possible 7 possible =10,000 =10∙9∙8∙7 =5040

10∙9∙8∙7…? Factorials! =10∙9∙8∙7∙6∙5∙4∙3∙2∙1 =10! 10! ___________ Does this pattern remind you of anything we learned briefly at the start of this year? =10∙9∙8∙7∙6∙5∙4∙3∙2∙1 =10! How can we represent 10∙9∙8∙7 in terms of factorials? 10! ___________ = 10! 6! 6∙5∙4∙3∙2∙1 How about the general case…with 𝑛 and 𝑟?

Permutations without repetition In our example, we have 10 choices for each digit and there are 4 so… 𝑛= 10 𝑟= 4 10! 6! The top number is obviously 𝑛! 𝑛! But where does the bottom number come from? (____ = 6!…?) _____ 𝑛−𝑟 ! We clearly did 10 – 4, right? (𝑛 – 𝑟) But we got 6!, not 6…so… 𝑛! 𝑛−𝑟 ! is for permutations without repetition where 𝑛 is the # of possibilities and 𝑟 is the # of times we choose.

Permutations without repetition Example How many ways can 𝑎, 𝑏, 𝑐, 𝑑 be ordered where only 2 letters are used but each can’t be used twice? 𝑛= 4 𝑟= 2 𝑛! 𝑛−𝑟 ! = 4! 4−2 ! = 4! 2! = 4∙3∙2∙1 2∙1 = 24 2 =12 12 ways (- 𝑎, 𝑏 𝑎, 𝑐 𝑎, 𝑑 𝑏, 𝑎 𝑏, 𝑐 𝑏, 𝑑 𝑐, 𝑎 𝑐, 𝑏 𝑐, 𝑑 𝑑, 𝑎 𝑑, 𝑏 𝑑, 𝑐)

Answers 120 72 240 81 210

Answers (Part 3) 64 24 216 120 49 42 256 24 With repetition: 343, Without repetition: 210

Answers (Part 4) 6 30 𝑛=3, 𝑟=3 𝑤𝑖𝑡ℎ𝑜𝑢𝑡 12 𝑛! 36 4 8

Answers (Part 5) 9P8 2 20 870 720 Crazy: n = 5, r = 5 ⟹5! Because we can’t pick more options than there are as one is removed each pick. Crazy: n = 5, r = 5 ⟹5! Hello has ‘l’ twice (indistinguishable) so it will have less than 5!. Or…factorials need to be positive, (n – r)! ≥0.

Answers (Part 6) 64 4!=24 720 156 6 7 49! 45! You can’t get 7 different outcomes from a die.