CHAPTER 15 PROBABILITY RULES!. THE GENERAL ADDITION RULE Does NOT require disjoint events! P(A U B) = P(A) + P(B) – P(A ∩ B) Add the probabilities of.

Slides:



Advertisements
Similar presentations
Chapter 15 Probability Rules!.
Advertisements

C HAPTER 15 Probability Rules! "We figured the odds as best we could, and then we rolled the dice." U.S. President Jimmy Carter, June 10,1976.
Probability Problems chapter 15 part 2 General addition rule Testing for independence Tree diagram.
Section 6.3 Probability Models Statistics AP Mrs. Skaff.
BPS - 5th Ed. Chapter 121 General Rules of Probability.
Chapter 15 Probability Rules!
7/20 The following table shows the number of people that like a particular fast food restaurant. 1)What is the probability that a person likes Wendy’s?
Skill 21: Representing Data. Why do we have to know how to represent the data differently? A baseball diamond is a square with sides of 90 feet. What.
Chapter 14 From Randomness to Probability. Random Phenomena ● A situation where we know all the possible outcomes, but we don’t know which one will or.
Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Chapter 15 Probability Rules!
Bell Ringer Find the sample space for the gender of the children if a family has three children. Use B for boy and G for girl. Include order. For example,
Probability Part 2 Disjoint and Independent Events
Chapter 15: Probability Rules
AP Statistics Notes Chapter 14 and 15.
Chapters 14/15 AP Statistics Mrs. Wolfe
AP STATISTICS Section 6.2 Probability Models. Objective: To be able to understand and apply the rules for probability. Random: refers to the type of order.
Chapters 14 & 15 Probability math2200. Random phenomenon In a random phenomenon we know what could happen, but we don’t know which particular outcome.
Slide 15-1 Copyright © 2004 Pearson Education, Inc.
Probability Rules!! Chapter 15.
CHAPTER 12: General Rules of Probability Lecture PowerPoint Slides The Basic Practice of Statistics 6 th Edition Moore / Notz / Fligner.
Probability(C14-C17 BVD) C15: Probability Rules. * OR – In probability language, OR means that either event happening or both events happening in a single.
Copyright © 2010 Pearson Education, Inc. Chapter 15 Probability Rules!
AP STATISTICS LESSON 6.3 (DAY 1) GENERAL PROBABILITY RULES.
Copyright © 2010 Pearson Education, Inc. Chapter 6 Probability.
Copyright © 2010 Pearson Education, Inc. Slide
12/7/20151 Math b Conditional Probability, Independency, Bayes Theorem.
Essential Statistics Chapter 111 General Rules of Probability.
Warm up The following table shows the number of people that like a particular fast food restaurant. McD’s BK Wendy’s Male Female What is.
AP Statistics Notes Chapter 14 and 15.
7/20 The following table shows the number of people that like a particular fast food restaurant. 1)What is the probability that a person likes Wendy’s?
Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide
STT 315 This lecture note is based on Chapter 3
Probability continues… % A+35.7% B+8.5% O-6.6% A-6.3% AB+3.4% B-1.5% AB-0.6% 1.What is the probability a randomly selected donor is Type O-? 2.What.
Independent Events The occurrence (or non- occurrence) of one event does not change the probability that the other event will occur.
Chapters 14 & 15 Probability math2200. Randomness v.s. chaos Neither of their outcomes can be anticipated with certainty Randomness –In the long run,
1 Chapter 15 Probability Rules. 2 Recall That… For any random phenomenon, each trial generates an outcome. An event is any set or collection of outcomes.
1.Review Ch 14 2.Ch 14 Partner Quiz 3.Notes on Ch 15 part 1 We will review conditional probability, then we will learn how to test for independence, and.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Chapter 15 Probability Rules!
Lecture PowerPoint Slides Basic Practice of Statistics 7 th Edition.
16.2 Probability of Events Occurring Together
CHAPTER 12 General Rules of Probability BPS - 5TH ED.CHAPTER 12 1.
Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Chapter 15 Probability Rules!
Chapter 15: Probability Rules! Ryan Vu and Erick Li Period 2.
Chapter 15 Probability Rules Robert Lauzon. Probability Single Events ●When you are trying to find the probability of a single outcome it can be found.
Copyright © 2010 Pearson Education, Inc. Chapter 15 Probability Rules!
Chapter 15 Probability Rules!. The General Addition Rule If A and B are disjoint use: P(A  B) = P(A) + P(B) If A and B are not disjoint, this addition.
Copyright © 2009 Pearson Education, Inc. Chapter 15 Probability Rules!
Chapter 14 Probability Rules!. Do Now: According to the 2010 US Census, 6.7% of the population is aged 10 to 14 years, and 7.1% of the population is aged.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Chapter 15 Probability Rules!
Probability Rules Chapter 15. Sample Space The sample space of a trial is the set of all possible outcomes and is labeled S. The outcomes do NOT need.
Conditional Probability 423/what-is-your-favorite-data-analysis-cartoon 1.
Chapter 15 Probability Rules!
Chapter 15 Probability Rules!.
Probability Using Venn Diagrams
Basic Practice of Statistics - 3rd Edition
Independent and Dependent Events
Warm-up 7/20 3/5 3/4 Male Female 25 McDonald’s Burger King
Chapter 15: Probability Rules!
P(A and B) = P(A) x P(B) The ‘AND’ Rule
Chapter 14 Probability Rules!.
Section 6.2 Probability Models
Chapter 15 Probability Rules! Copyright © 2010 Pearson Education, Inc.
Compound Probability.
The “Complicated” Probabilty Disjoint and Independent Events
Independent and Dependent Events
Chapter 15 Probability Rules!.
Independent vs. Dependent events
Chapter 15 Probability Rules! Copyright © 2010 Pearson Education, Inc.
Probability Multiplication law for dependent events
Basic Practice of Statistics - 5th Edition
Presentation transcript:

CHAPTER 15 PROBABILITY RULES!

THE GENERAL ADDITION RULE Does NOT require disjoint events! P(A U B) = P(A) + P(B) – P(A ∩ B) Add the probabilities of A and B then subtract the probability of A and B.

EXAMPLE: USING THE GENERAL ADDITION RULE A survey of college students found that 56% live in a campus residence hall, 62% participate in a campus meal program, and 42% do both. What is the probability that a randomly selected student either lives OR eats on campus?

EXAMPLE: USING VENN DIAGRAMS Back to the college students: 56% live on campus, 62% have a meal plan, and 42% do both. Based on a Venn diagram, what is the probability that a randomly selected student a)Lives off campus and doesn’t have a meal plan? b)Lives on campus but doesn’t have a meal plan?

STEP-BY-STEP EXAMPLE Police report that 78% of drivers stopped on suspicion of drunk driving are given a breath test, 36% a blood test, and 22% both tests. What is probability that a randomly selected DWI suspect is given… 1.A test? 2.A blood test or a breath test but not both? 3.Neither test?

PAGE 323 JUST CHECKING

CONDITIONAL PROBABILITY: IT DEPENDS…

FINDING CONDITIONAL PROBABILITY EXAMPLE Our survey found that 56% of college students live on campus, 62% have a campus meal program, and 42% do both. While dining in a campus facility open only to students with meal plans, you meet someone interesting. What is the probability that your new acquaintance lives on campus?

PAGE 325 JUST CHECKING

INDEPENDENCE Events A and B are independent whenever P(B│A) = P(B). Are living on campus and having a meal plan independent? Are they disjoint? (Back it up with math)

INDEPENDENT ≠ DISJOINT Disjoint events can NOT be independent! Two events could be either independent or disjoint, but not both. And they can be NEITHER disjoint nor independent.

PAGE 327 JUST CHECKING

TABLES VS VENN DIAGRAMS Step-by-Step Example Page 329 Just Checking

THE GENERAL MULTIPLICATION RULE Does not require independence! P(A∩B) = P(A) x P(B│A) Means the probability of A and B equals the probability of A times the probability of B given A has occurred.

EXAMPLE: USING THE GENERAL MULTIPLICATION RULE A factory produces two types of batteries, regular and rechargeable. Quality inspection tests show that 2% of the regular batteries come off the manufacturing line with a defect while only 1% of the rechargeable batteries have a defect. Rechargeable batteries make up 25% of the company’s production. What is the probability that if we choose 1 battery at random we get… a)A defective rechargeable battery? b)A regular battery and it is not defective?

DRAWING WITHOUT REPLACEMENT You just bought a small bag of Skittles. Not that you could know this, but inside are 20 candies: 7 green, 5 orange, 4 red, 3 yellow, and only 1 purple. You tear open one corner of the package and begin eating them by shaking one out at a time. What is the probability that … A)Your first two Skittles are both orange? B) That none of your first 3 candies is green?

PAGE 332 JUST CHECKING

TREE DIAGRAMS A display of conditional events or probabilities that is helpful in organizing our thinking. Now lets make a tree diagram with the battery example…