SlideShare a Scribd company logo
1 of 14
4-3 The Addition Rules For Probability
OBJECTIVE
 To find the probability of compound events,
using the addition rules.
MUTUALLY EXCLUSIVE EVENTS
 Two events are mutually exclusive if they
cannot occur at the same time (i.e., they
have no outcomes in common).
ADDITION RULE 1
 When two events A and B are mutually
exclusive, the probability that A or B will
occur is P(A or B) = P(A) + P(B)
ADDITION RULE 2
 If A and B are not mutually exclusive events,
then P(A or B) = P(A) + P(B) – P(A and B).
EXAMPLE
 Mutually exclusive or not?
 Getting a 7 and getting a jack
 Getting a club and getting a king
 Getting a face card and getting an ace
 Getting a face card and getting a spade
EXAMPLE
 A box contains 3 glazed doughnuts, 4 jelly
doughnuts, and 5 chocolate doughnuts. If a
person selects a doughnut at random, find
the probability that it is either a glazed
doughnut or a chocolate doughnut.
 8/12 or 2/3 or 66.7%
EXAMPLE
 At a political rally, there are 20 Republicans,
13 Democrats, and 6 Independents. If a
person is selected at random, find the
probability that he or she is either a
Democrat or an Independent.
 19/39 or 48.7%
EXAMPLE
 A day of the week is selected at random.
Find the probability that it is a weekend day.
 2/7 or 28.6%
EXAMPLE
 A single card is drawn from a deck. Find the
probability that it is a king or a club.
 16/52 or 4/13 or 30.8%
EXAMPLE
 In a hospital unit there are 8 nurses and 5
physicians; 7 nurses and 3 physicians are
females. If a staff person is selected, find the
probability that the subject is a nurse or a
male.
 10/13 or 76.9%
EXAMPLE
 On New Year’s Eve, the probability of a
person driving while intoxicated is 0.32, the
probability of a person having a driving
accident is 0.09, and the probability of a
person having a driving accident while
intoxicated is 0.06. What is the probability of
a person driving while intoxicated or having a
driving accident?
 35%
THREE EVENTS
 Mutually Exclusive:
P(A or B or C) = P(A) + P(B) + P(C)
 Not Mutually Exclusive:
P(A or B or C) = P(A) + P(B) + P(C) – P(A and B) –
P(B and C) – P(A and C) + P(A and B and C)
ASSIGNMENT
p.193-196, #1, 2, 3-25 odd

More Related Content

What's hot

What's hot (20)

Random Variables
Random VariablesRandom Variables
Random Variables
 
probability
probabilityprobability
probability
 
Basic Concept Of Probability
Basic Concept Of ProbabilityBasic Concept Of Probability
Basic Concept Of Probability
 
Intro to probability
Intro to probabilityIntro to probability
Intro to probability
 
Basic concepts of probability
Basic concepts of probabilityBasic concepts of probability
Basic concepts of probability
 
Probability Concepts Applications
Probability Concepts  ApplicationsProbability Concepts  Applications
Probability Concepts Applications
 
introduction to probability
introduction to probabilityintroduction to probability
introduction to probability
 
Random Variable
Random VariableRandom Variable
Random Variable
 
Probability
ProbabilityProbability
Probability
 
Probability
ProbabilityProbability
Probability
 
Probability And Probability Distributions
Probability And Probability Distributions Probability And Probability Distributions
Probability And Probability Distributions
 
PROBABILITY
PROBABILITYPROBABILITY
PROBABILITY
 
PROBABILITY AND IT'S TYPES WITH RULES
PROBABILITY AND IT'S TYPES WITH RULESPROBABILITY AND IT'S TYPES WITH RULES
PROBABILITY AND IT'S TYPES WITH RULES
 
Probability
ProbabilityProbability
Probability
 
Introduction to probability
Introduction to probabilityIntroduction to probability
Introduction to probability
 
Discrete probability distributions
Discrete probability distributionsDiscrete probability distributions
Discrete probability distributions
 
Gamma, Expoential, Poisson And Chi Squared Distributions
Gamma, Expoential, Poisson And Chi Squared DistributionsGamma, Expoential, Poisson And Chi Squared Distributions
Gamma, Expoential, Poisson And Chi Squared Distributions
 
Conditional Probability
Conditional ProbabilityConditional Probability
Conditional Probability
 
Probability
ProbabilityProbability
Probability
 
Probability of Multiple Events
Probability of Multiple EventsProbability of Multiple Events
Probability of Multiple Events
 

Similar to 4 3 Addition Rules for Probability

THE ADDITION RULES FOR PROBABILITY.pptx
THE ADDITION RULES FOR PROBABILITY.pptxTHE ADDITION RULES FOR PROBABILITY.pptx
THE ADDITION RULES FOR PROBABILITY.pptxvictormiralles2
 
Pre-Cal 40S Slides May 17, 2007
Pre-Cal 40S Slides May 17, 2007Pre-Cal 40S Slides May 17, 2007
Pre-Cal 40S Slides May 17, 2007Darren Kuropatwa
 
Chapter 4 260110 044531
Chapter 4 260110 044531Chapter 4 260110 044531
Chapter 4 260110 044531guest25d353
 
CLO2-PPT2-Probability Addition Rules.pptx
CLO2-PPT2-Probability Addition Rules.pptxCLO2-PPT2-Probability Addition Rules.pptx
CLO2-PPT2-Probability Addition Rules.pptxshahad1121
 
Applied Math 40S March 5, 2008
Applied Math 40S March 5, 2008Applied Math 40S March 5, 2008
Applied Math 40S March 5, 2008Darren Kuropatwa
 
Probability addition rule
Probability addition ruleProbability addition rule
Probability addition rulelrassbach
 
5. probability qt 1st tri semester
5. probability qt 1st tri semester 5. probability qt 1st tri semester
5. probability qt 1st tri semester Karan Kukreja
 
Module Six Closing Discussion Board
Module Six Closing Discussion BoardModule Six Closing Discussion Board
Module Six Closing Discussion BoardMichaelSampson34
 
7.8 simple probability 1
7.8 simple probability   17.8 simple probability   1
7.8 simple probability 1bweldon
 
Probability Overview with Hands-on from Object Automation
 Probability Overview with Hands-on from Object Automation Probability Overview with Hands-on from Object Automation
Probability Overview with Hands-on from Object AutomationObject Automation
 
Probability and Probability Distribution.pptx
Probability and Probability Distribution.pptxProbability and Probability Distribution.pptx
Probability and Probability Distribution.pptxRaffyBarotilla
 
group1-151014013653-lva1-app6891.pdf
group1-151014013653-lva1-app6891.pdfgroup1-151014013653-lva1-app6891.pdf
group1-151014013653-lva1-app6891.pdfVenkateshPandiri4
 
Notes_5.2.pptx
Notes_5.2.pptxNotes_5.2.pptx
Notes_5.2.pptxjaywarven1
 
Notes_5.2 (1).pptx
Notes_5.2 (1).pptxNotes_5.2 (1).pptx
Notes_5.2 (1).pptxjaywarven1
 
Notes_5.2 (1).pptx
Notes_5.2 (1).pptxNotes_5.2 (1).pptx
Notes_5.2 (1).pptxjaywarven1
 

Similar to 4 3 Addition Rules for Probability (20)

THE ADDITION RULES FOR PROBABILITY.pptx
THE ADDITION RULES FOR PROBABILITY.pptxTHE ADDITION RULES FOR PROBABILITY.pptx
THE ADDITION RULES FOR PROBABILITY.pptx
 
Pre-Cal 40S June 1, 2009
Pre-Cal 40S June 1, 2009Pre-Cal 40S June 1, 2009
Pre-Cal 40S June 1, 2009
 
Pre-Cal 40S Slides May 17, 2007
Pre-Cal 40S Slides May 17, 2007Pre-Cal 40S Slides May 17, 2007
Pre-Cal 40S Slides May 17, 2007
 
Chapter 4 260110 044531
Chapter 4 260110 044531Chapter 4 260110 044531
Chapter 4 260110 044531
 
CLO2-PPT2-Probability Addition Rules.pptx
CLO2-PPT2-Probability Addition Rules.pptxCLO2-PPT2-Probability Addition Rules.pptx
CLO2-PPT2-Probability Addition Rules.pptx
 
Chapter 4
Chapter 4Chapter 4
Chapter 4
 
Chapter 4
Chapter 4Chapter 4
Chapter 4
 
Applied Math 40S March 5, 2008
Applied Math 40S March 5, 2008Applied Math 40S March 5, 2008
Applied Math 40S March 5, 2008
 
Probability addition rule
Probability addition ruleProbability addition rule
Probability addition rule
 
5. probability qt 1st tri semester
5. probability qt 1st tri semester 5. probability qt 1st tri semester
5. probability qt 1st tri semester
 
Module Six Closing Discussion Board
Module Six Closing Discussion BoardModule Six Closing Discussion Board
Module Six Closing Discussion Board
 
7.8 simple probability 1
7.8 simple probability   17.8 simple probability   1
7.8 simple probability 1
 
Probability Overview with Hands-on from Object Automation
 Probability Overview with Hands-on from Object Automation Probability Overview with Hands-on from Object Automation
Probability Overview with Hands-on from Object Automation
 
lfstat3e_ppt_03_rev.ppt
lfstat3e_ppt_03_rev.pptlfstat3e_ppt_03_rev.ppt
lfstat3e_ppt_03_rev.ppt
 
Probability and Probability Distribution.pptx
Probability and Probability Distribution.pptxProbability and Probability Distribution.pptx
Probability and Probability Distribution.pptx
 
group1-151014013653-lva1-app6891.pdf
group1-151014013653-lva1-app6891.pdfgroup1-151014013653-lva1-app6891.pdf
group1-151014013653-lva1-app6891.pdf
 
QT1 - 04 - Probability
QT1 - 04 - ProbabilityQT1 - 04 - Probability
QT1 - 04 - Probability
 
Notes_5.2.pptx
Notes_5.2.pptxNotes_5.2.pptx
Notes_5.2.pptx
 
Notes_5.2 (1).pptx
Notes_5.2 (1).pptxNotes_5.2 (1).pptx
Notes_5.2 (1).pptx
 
Notes_5.2 (1).pptx
Notes_5.2 (1).pptxNotes_5.2 (1).pptx
Notes_5.2 (1).pptx
 

More from mlong24

1.4 Data Collection & Sampling
1.4 Data Collection & Sampling1.4 Data Collection & Sampling
1.4 Data Collection & Samplingmlong24
 
1.5 Observational vs. Experimental
1.5 Observational vs. Experimental1.5 Observational vs. Experimental
1.5 Observational vs. Experimentalmlong24
 
1 3 Variables and Types of Data
1 3 Variables and Types of Data1 3 Variables and Types of Data
1 3 Variables and Types of Datamlong24
 
1.6 Uses and Misuses
1.6 Uses and Misuses1.6 Uses and Misuses
1.6 Uses and Misusesmlong24
 
1.1-1.2 Descriptive and Inferential Statistics
1.1-1.2 Descriptive and Inferential Statistics1.1-1.2 Descriptive and Inferential Statistics
1.1-1.2 Descriptive and Inferential Statisticsmlong24
 
2.3 Histogram/Frequency Polygon/Ogives
2.3 Histogram/Frequency Polygon/Ogives2.3 Histogram/Frequency Polygon/Ogives
2.3 Histogram/Frequency Polygon/Ogivesmlong24
 
2.4 Other Types of Graphs
2.4 Other Types of Graphs2.4 Other Types of Graphs
2.4 Other Types of Graphsmlong24
 
2.1-2.2 Organizing Data
2.1-2.2 Organizing Data2.1-2.2 Organizing Data
2.1-2.2 Organizing Datamlong24
 
3.5 Exploratory Data Analysis
3.5 Exploratory Data Analysis3.5 Exploratory Data Analysis
3.5 Exploratory Data Analysismlong24
 
3.3 Measures of Variation
3.3 Measures of Variation3.3 Measures of Variation
3.3 Measures of Variationmlong24
 
3.4 Measures of Position
3.4 Measures of Position3.4 Measures of Position
3.4 Measures of Positionmlong24
 
3.1-3.2 Measures of Central Tendency
3.1-3.2 Measures of Central Tendency3.1-3.2 Measures of Central Tendency
3.1-3.2 Measures of Central Tendencymlong24
 
2.1 Phy I - Displacement and Velocity
2.1 Phy I - Displacement and Velocity2.1 Phy I - Displacement and Velocity
2.1 Phy I - Displacement and Velocitymlong24
 
2.2 Phy I - Acceleration
2.2 Phy I - Acceleration2.2 Phy I - Acceleration
2.2 Phy I - Accelerationmlong24
 
1.2 Measurements in Experiments
1.2 Measurements in Experiments1.2 Measurements in Experiments
1.2 Measurements in Experimentsmlong24
 
1.1 What is Physics?
1.1 What is Physics?1.1 What is Physics?
1.1 What is Physics?mlong24
 
1.3 The Language of Physics
1.3 The Language of Physics1.3 The Language of Physics
1.3 The Language of Physicsmlong24
 
AP Physics 1 - Introduction
AP Physics 1 - IntroductionAP Physics 1 - Introduction
AP Physics 1 - Introductionmlong24
 
Color & Marketing
Color & MarketingColor & Marketing
Color & Marketingmlong24
 
Color & Vision
Color & VisionColor & Vision
Color & Visionmlong24
 

More from mlong24 (20)

1.4 Data Collection & Sampling
1.4 Data Collection & Sampling1.4 Data Collection & Sampling
1.4 Data Collection & Sampling
 
1.5 Observational vs. Experimental
1.5 Observational vs. Experimental1.5 Observational vs. Experimental
1.5 Observational vs. Experimental
 
1 3 Variables and Types of Data
1 3 Variables and Types of Data1 3 Variables and Types of Data
1 3 Variables and Types of Data
 
1.6 Uses and Misuses
1.6 Uses and Misuses1.6 Uses and Misuses
1.6 Uses and Misuses
 
1.1-1.2 Descriptive and Inferential Statistics
1.1-1.2 Descriptive and Inferential Statistics1.1-1.2 Descriptive and Inferential Statistics
1.1-1.2 Descriptive and Inferential Statistics
 
2.3 Histogram/Frequency Polygon/Ogives
2.3 Histogram/Frequency Polygon/Ogives2.3 Histogram/Frequency Polygon/Ogives
2.3 Histogram/Frequency Polygon/Ogives
 
2.4 Other Types of Graphs
2.4 Other Types of Graphs2.4 Other Types of Graphs
2.4 Other Types of Graphs
 
2.1-2.2 Organizing Data
2.1-2.2 Organizing Data2.1-2.2 Organizing Data
2.1-2.2 Organizing Data
 
3.5 Exploratory Data Analysis
3.5 Exploratory Data Analysis3.5 Exploratory Data Analysis
3.5 Exploratory Data Analysis
 
3.3 Measures of Variation
3.3 Measures of Variation3.3 Measures of Variation
3.3 Measures of Variation
 
3.4 Measures of Position
3.4 Measures of Position3.4 Measures of Position
3.4 Measures of Position
 
3.1-3.2 Measures of Central Tendency
3.1-3.2 Measures of Central Tendency3.1-3.2 Measures of Central Tendency
3.1-3.2 Measures of Central Tendency
 
2.1 Phy I - Displacement and Velocity
2.1 Phy I - Displacement and Velocity2.1 Phy I - Displacement and Velocity
2.1 Phy I - Displacement and Velocity
 
2.2 Phy I - Acceleration
2.2 Phy I - Acceleration2.2 Phy I - Acceleration
2.2 Phy I - Acceleration
 
1.2 Measurements in Experiments
1.2 Measurements in Experiments1.2 Measurements in Experiments
1.2 Measurements in Experiments
 
1.1 What is Physics?
1.1 What is Physics?1.1 What is Physics?
1.1 What is Physics?
 
1.3 The Language of Physics
1.3 The Language of Physics1.3 The Language of Physics
1.3 The Language of Physics
 
AP Physics 1 - Introduction
AP Physics 1 - IntroductionAP Physics 1 - Introduction
AP Physics 1 - Introduction
 
Color & Marketing
Color & MarketingColor & Marketing
Color & Marketing
 
Color & Vision
Color & VisionColor & Vision
Color & Vision
 

Recently uploaded

Food Chain and Food Web (Ecosystem) EVS, B. Pharmacy 1st Year, Sem-II
Food Chain and Food Web (Ecosystem) EVS, B. Pharmacy 1st Year, Sem-IIFood Chain and Food Web (Ecosystem) EVS, B. Pharmacy 1st Year, Sem-II
Food Chain and Food Web (Ecosystem) EVS, B. Pharmacy 1st Year, Sem-IIShubhangi Sonawane
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdfQucHHunhnh
 
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfKey note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfAdmir Softic
 
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptxBasic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptxDenish Jangid
 
The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxheathfieldcps1
 
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...Shubhangi Sonawane
 
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17  How to Extend Models Using Mixin ClassesMixin Classes in Odoo 17  How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17 How to Extend Models Using Mixin ClassesCeline George
 
Unit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptxUnit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptxVishalSingh1417
 
On National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsOn National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsMebane Rash
 
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...christianmathematics
 
General Principles of Intellectual Property: Concepts of Intellectual Proper...
General Principles of Intellectual Property: Concepts of Intellectual  Proper...General Principles of Intellectual Property: Concepts of Intellectual  Proper...
General Principles of Intellectual Property: Concepts of Intellectual Proper...Poonam Aher Patil
 
ComPTIA Overview | Comptia Security+ Book SY0-701
ComPTIA Overview | Comptia Security+ Book SY0-701ComPTIA Overview | Comptia Security+ Book SY0-701
ComPTIA Overview | Comptia Security+ Book SY0-701bronxfugly43
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdfQucHHunhnh
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxAreebaZafar22
 
Sociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning ExhibitSociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning Exhibitjbellavia9
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeThiyagu K
 
psychiatric nursing HISTORY COLLECTION .docx
psychiatric  nursing HISTORY  COLLECTION  .docxpsychiatric  nursing HISTORY  COLLECTION  .docx
psychiatric nursing HISTORY COLLECTION .docxPoojaSen20
 
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhikauryashika82
 
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...Nguyen Thanh Tu Collection
 

Recently uploaded (20)

Mehran University Newsletter Vol-X, Issue-I, 2024
Mehran University Newsletter Vol-X, Issue-I, 2024Mehran University Newsletter Vol-X, Issue-I, 2024
Mehran University Newsletter Vol-X, Issue-I, 2024
 
Food Chain and Food Web (Ecosystem) EVS, B. Pharmacy 1st Year, Sem-II
Food Chain and Food Web (Ecosystem) EVS, B. Pharmacy 1st Year, Sem-IIFood Chain and Food Web (Ecosystem) EVS, B. Pharmacy 1st Year, Sem-II
Food Chain and Food Web (Ecosystem) EVS, B. Pharmacy 1st Year, Sem-II
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdf
 
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfKey note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdf
 
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptxBasic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
 
The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptx
 
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
 
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17  How to Extend Models Using Mixin ClassesMixin Classes in Odoo 17  How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
 
Unit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptxUnit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptx
 
On National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsOn National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan Fellows
 
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
 
General Principles of Intellectual Property: Concepts of Intellectual Proper...
General Principles of Intellectual Property: Concepts of Intellectual  Proper...General Principles of Intellectual Property: Concepts of Intellectual  Proper...
General Principles of Intellectual Property: Concepts of Intellectual Proper...
 
ComPTIA Overview | Comptia Security+ Book SY0-701
ComPTIA Overview | Comptia Security+ Book SY0-701ComPTIA Overview | Comptia Security+ Book SY0-701
ComPTIA Overview | Comptia Security+ Book SY0-701
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdf
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptx
 
Sociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning ExhibitSociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning Exhibit
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and Mode
 
psychiatric nursing HISTORY COLLECTION .docx
psychiatric  nursing HISTORY  COLLECTION  .docxpsychiatric  nursing HISTORY  COLLECTION  .docx
psychiatric nursing HISTORY COLLECTION .docx
 
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
 
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
 

4 3 Addition Rules for Probability

  • 1. 4-3 The Addition Rules For Probability
  • 2. OBJECTIVE  To find the probability of compound events, using the addition rules.
  • 3. MUTUALLY EXCLUSIVE EVENTS  Two events are mutually exclusive if they cannot occur at the same time (i.e., they have no outcomes in common).
  • 4. ADDITION RULE 1  When two events A and B are mutually exclusive, the probability that A or B will occur is P(A or B) = P(A) + P(B)
  • 5. ADDITION RULE 2  If A and B are not mutually exclusive events, then P(A or B) = P(A) + P(B) – P(A and B).
  • 6. EXAMPLE  Mutually exclusive or not?  Getting a 7 and getting a jack  Getting a club and getting a king  Getting a face card and getting an ace  Getting a face card and getting a spade
  • 7. EXAMPLE  A box contains 3 glazed doughnuts, 4 jelly doughnuts, and 5 chocolate doughnuts. If a person selects a doughnut at random, find the probability that it is either a glazed doughnut or a chocolate doughnut.  8/12 or 2/3 or 66.7%
  • 8. EXAMPLE  At a political rally, there are 20 Republicans, 13 Democrats, and 6 Independents. If a person is selected at random, find the probability that he or she is either a Democrat or an Independent.  19/39 or 48.7%
  • 9. EXAMPLE  A day of the week is selected at random. Find the probability that it is a weekend day.  2/7 or 28.6%
  • 10. EXAMPLE  A single card is drawn from a deck. Find the probability that it is a king or a club.  16/52 or 4/13 or 30.8%
  • 11. EXAMPLE  In a hospital unit there are 8 nurses and 5 physicians; 7 nurses and 3 physicians are females. If a staff person is selected, find the probability that the subject is a nurse or a male.  10/13 or 76.9%
  • 12. EXAMPLE  On New Year’s Eve, the probability of a person driving while intoxicated is 0.32, the probability of a person having a driving accident is 0.09, and the probability of a person having a driving accident while intoxicated is 0.06. What is the probability of a person driving while intoxicated or having a driving accident?  35%
  • 13. THREE EVENTS  Mutually Exclusive: P(A or B or C) = P(A) + P(B) + P(C)  Not Mutually Exclusive: P(A or B or C) = P(A) + P(B) + P(C) – P(A and B) – P(B and C) – P(A and C) + P(A and B and C)