Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 9- 1 Homework, Page 708 Count the number of ways that each procedure.

Slides:



Advertisements
Similar presentations
A binomial is a polynomial with two terms such as x + a. Often we need to raise a binomial to a power. In this section we'll explore a way to do just.
Advertisements

Methods of Enumeration Counting tools can be very important in probability … particularly if you have a finite sample space with equally likely outcomes.
Chapter 4: Probability. LO1Describe what probability is and when one would use it. LO2Differentiate among three methods of assigning probabilities: the.
DM. 13. A method for counting outcomes of multi-stage processes If you want to perform a series of tasks and the first task can be done in (a) ways, the.
© 2010 Pearson Education, Inc. All rights reserved Chapter 9 9 Probability.
Chapter 12 Probability © 2008 Pearson Addison-Wesley. All rights reserved.
Copyright © 2006 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide
COUNTING AND PROBABILITY
Section 7A: Fundamentals of Probability Section Objectives Define outcomes and event Construct a probability distribution Define subjective and empirical.
Probability – Page 1CSCI 1900 – Discrete Structures CSCI 1900 Discrete Structures Probability Reading: Kolman, Section 3.4.
Excursions in Modern Mathematics, 7e: Copyright © 2010 Pearson Education, Inc. 15 Chances, Probabilities, and Odds 15.1Random Experiments and.
Copyright © 2011 Pearson, Inc. 9.3 Probability. Copyright © 2011 Pearson, Inc. Slide What you’ll learn about Sample Spaces and Probability Functions.
Chapter 2: The Next Step… Conditional Probability.
Binomial Distributions. Binomial Experiments Have a fixed number of trials Each trial has tow possible outcomes The trials are independent The probability.
INTRODUCTORY MATHEMATICAL ANALYSIS For Business, Economics, and the Life and Social Sciences  2007 Pearson Education Asia Chapter 8 Introduction to Probability.
Chapter 1 Basics of Probability.
Combinatorics 3/15 and 3/ Counting A restaurant offers the following menu: Main CourseVegetablesBeverage BeefPotatoesMilk HamGreen BeansCoffee.
Probability We love Section 9.3a and b!. Most people have an intuitive sense of probability, but that intuition is often incorrect… Let’s test your intuition.
Binomial Distributions
Sequences and Series. Quick Review.
(13 – 1) The Counting Principle and Permutations Learning targets: To use the fundamental counting principle to count the number of ways an event can happen.
7 Further Topics in Algebra © 2008 Pearson Addison-Wesley. All rights reserved Sections 7.4–7.7.
Binomial Distributions
Finding Probability Using Tree Diagrams and Outcome Tables
Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 9- 1.
Warm-Up 1. What is Benford’s Law?
1/31/2007 Pre-Calculus Chapter 9 Review a n = a 1 + (n – 1)d a n = a 1 r (n – 1)
Copyright © 2011 Pearson, Inc. 9.2 The Binomial Theorem.
Slide 7- 1 Copyright © 2006 Pearson Education, Inc. Publishing as Pearson Addison-Wesley.
Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 9- 1.
Section 1.1, Slide 1 Copyright © 2014, 2010, 2007 Pearson Education, Inc. Section 13.3, Slide 1 13 Probability What Are the Chances?
Section 1.1, Slide 1 Copyright © 2014, 2010, 2007 Pearson Education, Inc. Section 13.3, Slide 1 13 Probability What Are the Chances?
Slide Slide 1 Created by Tom Wegleitner, Centreville, Virginia Edited by Olga Pilipets, San Diego, California Counting.
Chapter 12 PROBABILITY Counting, Combinations, Permutations, Probability, Binomial Theorem.
March 10,  Counting  Fundamental Counting principle  Factorials  Permutations and combinations  Probability  Complementary events  Compound.
Copyright © 2007 Pearson Education, Inc. Slide 8-1.
Probability. Sample Spaces and Probability Functions Determining Probabilities Venn Diagrams and Tree Diagrams Conditional Probability Binomial Distributions.
Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 9- 1 Homework, Page 715 Expand the binomial using a calculator to find.
Chapter 9 Review. 1. Give the probability of each outcome.
Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 9- 1 Homework, Page 786 Evaluate the expression by hand, then check.
Do Now 3/10/10 Take out HW from Friday & last night. Take out HW from Friday & last night.  Text p. 309, #7-11 all, 17 & 18  Practice worksheets 6.6.
Homework Homework due now. Reading: relations
Let’s consider this problem… The table below gives the proportion of time that the gerbil spends in each compartment. Compartment Proportion A 0.25 B 0.20.
1.4 Equally Likely Outcomes. The outcomes of a sample space are called equally likely if all of them have the same chance of occurrence. It is very difficult.
Slide 5-1 Chapter 5 Probability and Random Variables.
Lesson 6.8A: The Binomial Theorem OBJECTIVES:  To evaluate a binomial coefficient  To expand a binomial raised to a power.
Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 5- 1 Homework, Page 468 Use a sum or difference identity to find an.
MM207 Statistics Welcome to the Unit 7 Seminar With Ms. Hannahs.
Slide Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley.
Probability Basics Section Starter Roll two dice and record the sum shown. Repeat until you have done 20 rolls. Write a list of all the possible.
Copyright © Cengage Learning. All rights reserved. Elementary Probability Theory 4.
Math 30-2 Probability & Odds. Acceptable Standards (50-79%)  The student can express odds for or odds against as a probability determine the probability.
Chapter 12 Section 1 - Slide 1 Copyright © 2009 Pearson Education, Inc. AND.
Today in Precalculus Go over homework Notes: More Probability Homework.
Copyright © 2009 Pearson Education, Inc. Chapter 12 Section 5 - Slide 1 P-5 Probability Tree Diagrams.
 Counting  Fundamental Counting principle  Factorials  Permutations and combinations  Probability  Complementary events  Compound events  Independent.
Probability Distributions and Expected Value Chapter 5.1 – Probability Distributions and Predictions Mathematics of Data Management (Nelson) MDM 4U Authors:
Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall.
 How is probability defined? Activation John is at a picnic. He can choose one of three entrees, two of four vegetables and one of five desserts.
Slide Chapter 9 Discrete Mathematics 9.1 Basic Combinatorics.
The Pigeonhole Principle
Copyright © 2014, 2010, 2007 Pearson Education, Inc.
The Binomial Theorem Objectives: Evaluate a Binomial Coefficient
8.3 Counting Apply the fundamental counting principle
Probability Day One - Review
The Binomial Probability Theorem.
The Binomial Theorem OBJECTIVES: Evaluate a Binomial Coefficient
Chapter 12 Section 4.
9.2 The Binomial Theorem.
9.3 Probability.
Presentation transcript:

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 9- 1 Homework, Page 708 Count the number of ways that each procedure can be done. 1.Line up three people for a photograph.

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 9- 2 Homework, Page There are four candidates for homecoming queen and three candidates for king. How many king-queen pairings are possible?

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 9- 3 Homework, Page How many distinguishable 11-letter words may be made from the letters in MISSISSIPPI?

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 9- 4 Homework, Page 708 Evaluate each expression without a calculator, then check. 13.

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 9- 5 Homework, Page 708 Evaluate each expression without a calculator, then check. 17.

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 9- 6 Homework, Page 708 Tell whether permutations or combinations are being described. 21.Four students are selected from the senior class to form a committee to advise the cafeteria director about food. Combination

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 9- 7 Homework, Page Suppose that two dice, one red and one green are rolled. How many different outcomes are possible for the pair of dice?

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 9- 8 Homework, Page Juan has money to buy only three of the 48 CDs available. How many different sets of CDs can be purchased?

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 9- 9 Homework, Page Six seniors at Rydell High School meet the qualifications for a competitive honor scholarship at a major university. The university allows the school to nominate three candidates, and the school always nominates at least one. How many different choices could the nominating committee make?

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide Homework, Page Mary’s lunch always consists of a full plate of salad from Ernestine’s salad bar. She always takes equal amounts of each salad she chooses, but she likes to vary her selections. If she can choose from among nine salads, how many essentially different lunches can she create?

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide Homework, Page How many different answer keys are possible for a ten question true - false test?

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide Homework, Page Lunch at the Gritsy Palace consists of an entrée, two vegetables, and a dessert. If there are four entrees, six vegetables, and six desserts from which to choose, how many essentially different lunches are possible? A.16 B.25 C.144 D. 360 E.720

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley 9.2 The Binomial Theorem

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide Quick Review

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide Quick Review Solutions

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide What you’ll learn about Powers of Binomials Pascal’s Triangle The Binomial Theorem Factorial Identities … and why The Binomial Theorem is a marvelous study in combinatorial patterns.

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide Binomial Coefficient

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide Example Using n C r to Expand a Binomial

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide Pascal’s Triangle Pascal’s Triangle is a listing of the coefficients of the terms in the expansion of a binomial.

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide Example Using Pascal’s Triangle to Expand a Binomial

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide The Binomial Theorem

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide Expanding a Binomial Points to note about Binomial Expansions: 1.The number of terms in the expansion is one more than the exponent. 2.The sum of the exponents of the variables in a term is always the exponent to which the binomial is raised, assuming both variables are first order in the initial expression. 3.The coefficient of the second term is the same as the exponent.

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide Example Evaluating a Coefficient in a Binomial Expansion by Hand

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide Example Writing the Specified Term of a Binomial Expansion

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide Basic Factorial Identities

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide Homework Homework Assignment #28 Review Section 9.2 Page 715, Exercises: 1 – 37 (EOO) Quiz next time

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley 9.3 Probability

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide Quick Review

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide Quick Review Solutions

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide What you’ll learn about Sample Spaces and Probability Functions Determining Probabilities Venn Diagrams and Tree Diagrams Conditional Probability Binomial Distributions … and why Everyone should know how mathematical the “laws of chance” really are.

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide Probability of an Event (Equally Likely Outcomes)

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide Probability Distribution for the Sum of Two Fair Dice OutcomeProbability 21/36 32/36 43/36 54/36 65/36 76/36 85/36 94/36 103/36 112/36 121/36

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide Example Rolling the Dice Find the probability of rolling a sum divisible by 4 on a single roll of two fair dice.

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide Probability Function

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide Example Testing the Validity of a Probability Function Is it possible to weight a standard number cube in such a way that the probability of rolling a number n is exactly 1/(n+2)?

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide Probability of an Event (Outcomes not Equally Likely)

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide Example Rolling the Dice Find the probability of rolling a sum divisible by 3 on a single roll of two fair dice.

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide Strategy for Determining Probabilities

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide Example Choosing Chocolates Dylan opens a box of a dozen chocolate cremes and offers three of them to Russell. Russell likes vanilla cremes the best, but all the chocolates look alike on the outside. If five of the twelve cremes are vanilla, what is the probability that all of Russell’s picks are vanilla?

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide Multiplication Principle of Probability Suppose an event A has probability p 1 and an event B has probability p 2 under the assumption that A occurs. Then the probability that both A and B occur is p 1 p 2.

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide Venn Diagram Venn diagrams are visual representations of groupings of events. E.g., if 63% of the students are girls and 54% of the students play sports, find the percentage of boys playing sports if 1/3 of the girls play sports.

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide Conditional Probability Formula

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide Example Using the Conditional Probability Formula Two identical cookie jars are on a counter. Jar A contains eight cookies, six of which are oatmeal, and jar B contains four cookies, two of which are oatmeal. If an oatmeal cookie is selected, what is the likelihood it came from the jar A?

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide Binomial Distribution

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide Example Shooting Free Throws Suppose Tommy makes 92% of his free throws. If he shoots 15 free throws, and if his chance of making each one is independent of the other shots, what is the probability that he makes all 15?

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide Example Shooting Free Throws Suppose Tommy makes 92% of his free throws. If he shoots 15 free throws, and if his chance of making each one is independent of the other shots, what is the probability that he makes exactly 10?