the addition law for events that are not mutually exclusive

Slides:



Advertisements
Similar presentations
A.P. STATISTICS LESSON 6 – 2 (DAY2) PROBABILITY RULES.
Advertisements

Chapter 2 Probability. 2.1 Sample Spaces and Events.
The Practice of Statistics Third Edition Chapter 6: Probability and Simulation: The Study of Randomness Copyright © 2008 by W. H. Freeman & Company Daniel.
Probability Sample Space Diagrams.
Mixed Statistics so far Find estimates for the mean and standard deviation of the amount spent. The students’ teachers want to know the mean and Standard.
Section 1.5 Events A and B are called independent events if and only if P(A  B) = P(A) P(B)  P(A) = P(A | B)  P(B) = P(B | A) Events A, B, and C are.
Lesson 5 - R Chapter 5 Review.
Events and their probability
Summation Notation. Terminology k –index of summation 1- lower limit n-upper limit.
Mutually Exclusive: P(not A) = 1- P(A) Complement Rule: P(A and B) = 0 P(A or B) = P(A) + P(B) - P(A and B) General Addition Rule: Conditional Probability:
Laws of Probability What is the probability of throwing a pair of dice and obtaining a 5 or a 7? These are mutually exclusive events. You can’t throw.
Probability Rules l Rule 1. The probability of any event (A) is a number between zero and one. 0 < P(A) < 1.
Probability Lesson 1 Aims:
AP Statistics Notes Chapter 14 and 15.
Section 2 Probability Rules – Compound Events Compound Event – an event that is expressed in terms of, or as a combination of, other events Events A.
AP Statistics Chapter 6 Notes. Probability Terms Random: Individual outcomes are uncertain, but there is a predictable distribution of outcomes in the.
Probability of Compound Events
Chapter 1:Independent and Dependent Events
Ch Counting Techniques Product Rule If the first element or object of an ordered pair can be used in n 1 ways, and for each of these n1 ways.
Dr. Omar Al Jadaan Probability. Simple Probability Possibilities and Outcomes Expressed in the form of a fraction A/B Where A is the occurrence B is possible.
Algebra II 10.4: Find Probabilities of Disjoint and Overlapping Events HW: HW: p.710 (8 – 38 even) Chapter 10 Test: Thursday.
Probability The Language of Sets
Probability You’ll probably like it!. Probability Definitions Probability assignment Complement, union, intersection of events Conditional probability.
12/7/20151 Math b Conditional Probability, Independency, Bayes Theorem.
2. Introduction to Probability. What is a Probability?
12.4 Probability of Compound Events. Vocabulary Compound Event: the union or intersection of two events. Mutually Exclusive Events: events A and B are.
Probability Rules. We start with four basic rules of probability. They are simple, but you must know them. Rule 1: All probabilities are numbers between.
Probability. Rules  0 ≤ P(A) ≤ 1 for any event A.  P(S) = 1  Complement: P(A c ) = 1 – P(A)  Addition: If A and B are disjoint events, P(A or B) =
Lesson 8.7 Page #1-29 (ODD), 33, 35, 41, 43, 47, 49, (ODD) Pick up the handout on the table.
Probability: Terminology  Sample Space  Set of all possible outcomes of a random experiment.  Random Experiment  Any activity resulting in uncertain.
AP Statistics Notes Chapter 14 and 15.
Independent Events The occurrence (or non- occurrence) of one event does not change the probability that the other event will occur.
5.2 – Some Probability Rules: Compound Events Independent Events: if one outcome does not affect the outcome of another. – Replacement Dependent Events:
Starter P(A) = ½, P(B) = ⅓ and P(A B) = p Find p if:
Probability Part 4 – “Or” Events. Probability Warm-up In a survey, 16 percent of American children said they use flattery to get their parents to buy.
Chapter 10 – Data Analysis and Probability 10.7 – Probability of Compound Events.
I can find probabilities of compound events.. Compound Events  Involves two or more things happening at once.  Uses the words “and” & “or”
Probability Any event occurring as a result of a random experiment will usually be denoted by a capital letter from the early part of the alphabet. e.g.
HAIR TYPE BrownBlondBlackRedTOTALS Wavy Straight TOTALS HAIR COLOR What is the probability that a randomly selected child will have.
STATISTICS 6.0 Conditional Probabilities “Conditional Probabilities”
Conditional Probability If two events are not mutually exclusive, the fact that we know that B has happened will have an effect on the probability of A.
Probability (2) Outcomes and Events. Let C mean “the Event a Court Card (Jack, Queen, King) is chosen” Let D mean “the Event a Diamond is chosen” Probability.
General Addition Rule AP Statistics.
Probability What is the probability of rolling “snake eyes” in one roll? What is the probability of rolling “yahtzee” in one roll?
Section 9-7 Probability of Multiple Events. Multiple Events When the occurrence of one event affects the probability of a second event the two events.
Probability Using Venn Diagrams
CHAPTER 5 Probability: What Are the Chances?
Statistics 300: Introduction to Probability and Statistics
12.4 Probability of Compound Events
CHAPTER 5 Probability: What Are the Chances?
Section 7.2 Students will explore more with probability. Students will do conditional probability, independent probability and using two way tables to.
AND.
Conditional Probability AGENDA
Mutually exclusive nothing in common.
Introduction to Probability & Statistics Expectations
Compound Probability.
How to Interpret Probability Mathematically, the probability that an event will occur is expressed as a number between 0 and 1. Notationally, the.
Probability Rules Rule 1.
Probability distributions
Probability Tree Diagrams
Probability Conditional Probability
Note 10:Conditional Probability
Probability Multiplication law for dependent events
Note 9: Laws of Probability
Probability Mutually exclusive and exhaustive events
Notes 13-4: Probabilities of Compound Events
9J Conditional Probability, 9K Independent Events
An Introduction to….
Presentation transcript:

the addition law for events that are not mutually exclusive GCSE Statistics Probability the addition law for events that are not mutually exclusive

If events are not mutually exclusive, P(A or B) = P(A) + P(B) – P(A and B) This is the addition law for events that are not mutually exclusive. For example, in a group of people there are 5 men and 5 woman. Three of the men have red hair and one woman has red hair. If M stands for man and R for red hair: P(M) = 0.5 P(R) = 0.4 P(M and R) = 0.3 Then P(M or R) = 0.5 + 0.4 – 0.3 = 0.6

P(A U B) = P(A) + P(B) – P(A ∩ B) The notation in the text book is different P(A ∩ B) = P(A and B) ∩ means the intersection of the sets P(A U B) = P(A or B) U means the union of the sets the addition law is then written P(A U B) = P(A) + P(B) – P(A ∩ B) P(A or B) = P(A) + P(B) – P(A and B)

There are 800 children living in Finton There are 800 children living in Finton. 500 of the children have had chickenpox. One of the 800 children is chosen at random. A write down the probability that this child has had chickenpox P(C) = 𝟓𝟎𝟎 𝟖𝟎𝟎 = 𝟓 𝟖 =𝟎.𝟔𝟐𝟓 Some of the 800 children have had measles, M. A child is chosen at random. The probability that this child has had measles is 1 10 . B write down the probability that a child selected at random has not had measles. P(M) = 1 - 𝟏 𝟏𝟎 =𝟎.𝟗 Having measles is independent of having had chickenpox. C work out the probability that a child has had chickenpox, measles or both. P(C or M) = P(C) + P(M) – P( C and M) = 0.625 + 0.1 – (0.625x0.1) = 0.6625

Your turn Exercise 7I page 274