SlideShare une entreprise Scribd logo

Chapter 4

•Télécharger en tant que PPT, PDF•
•
G
guest3720ca

This document provides an overview of probability concepts including: - Classical probability which uses equally likely outcomes and sample spaces to calculate probabilities - Empirical probability which is based on observed frequencies - Addition and multiplication rules for calculating probabilities of independent and dependent events - Conditional probability which considers the probability of one event given that another has occurred Examples are provided to demonstrate calculating probabilities of simple and compound events.

TechnologieFormation
1  sur  109
Chapter 4: Probability
Probability ,[object Object],[object Object],[object Object]
[object Object]
Example ,[object Object],[object Object]
Example ,[object Object]
[object Object],[object Object],[object Object]
Example ,[object Object],[object Object]
[object Object],[object Object]
Formula for Classical Probability – ,[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object]
Probability Rules ,[object Object],[object Object],[object Object],[object Object]
Complementary Events ,[object Object]
Example ,[object Object],[object Object],[object Object]
Example ,[object Object],[object Object],[object Object]
Rule for Complementary Events ,[object Object],[object Object],[object Object]
Examples ,[object Object],[object Object]
Classical vs. Empirical Probability ,[object Object]
Formula for Empirical Probability ,[object Object],[object Object],[object Object],[object Object]
Example: ,[object Object]
Example ,[object Object]
Law of Large Numbers ,[object Object]
Subjective Probability ,[object Object]
Example ,[object Object],[object Object],[object Object]
Example ,[object Object],[object Object]
[object Object],[object Object]
[object Object],[object Object]
The Addition Rule for Probability ,[object Object]
Example: Mutual Exclusiveness ,[object Object],[object Object],[object Object]
Example: Mutual Exclusiveness ,[object Object],[object Object]
Addition Rule 1. ,[object Object],[object Object]
Example: ,[object Object]
Example: ,[object Object]
Example: ,[object Object]
Addition Rule 2 ,[object Object],[object Object],[object Object]
Example ,[object Object],[object Object]
Example: ,[object Object],[object Object]
Example ,[object Object],[object Object]
Example ,[object Object],[object Object]
Example: Titanic ,[object Object],[object Object],2223 45 64 422 1692 Total 1517 18 35 104 1360 Died 706 27 29 318 332 Survived Total Girls Boys Women Men Titanic Mortality
Example: Titanic ,[object Object],2223 45 64 422 1692 Total 1517 18 35 104 1360 Died 706 27 29 318 332 Survived Total Girls Boys Women Men Titanic Mortality
Example: Titanic ,[object Object],2223 45 64 422 1692 Total 1517 18 35 104 1360 Died 706 27 29 318 332 Survived Total Girls Boys Women Men Titanic Mortality
Example: Titanic ,[object Object],2223 45 64 422 1692 Total 1517 18 35 104 1360 Died 706 27 29 318 332 Survived Total Girls Boys Women Men Titanic Mortality
Example: Titanic ,[object Object],[object Object],2223 45 64 422 1692 Total 1517 18 35 104 1360 Died 706 27 29 318 332 Survived Total Girls Boys Women Men Titanic Mortality
Example ,[object Object],[object Object],[object Object],[object Object]
4-4 The Multiplication Rules and Conditional Probability ,[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Multiplication Rule 1 ,[object Object]
Example: ,[object Object]
Example: ,[object Object]
[object Object]
[object Object],[object Object]
Example: ,[object Object]
[object Object]
Conditional Probability ,[object Object]
Multiplication Rule 2 ,[object Object]
Example: ,[object Object],[object Object]
Example: ,[object Object],[object Object]
Example: ,[object Object],[object Object]
Example ,[object Object]
Example ,[object Object]
Example: ,[object Object]
Conditional Probability ,[object Object]
[object Object],[object Object]
Example: ,[object Object]
Example ,[object Object]
Example ,[object Object]
Example ,[object Object]
Example ,[object Object]
[object Object],[object Object],235 205 186 Others 17 25 16 Australia 15 16 28 China 28 28 32 Russia 33 25 39 United States Bronze Silver Gold
[object Object],[object Object],235 205 186 Others 17 25 16 Australia 15 16 28 China 28 28 32 Russia 33 25 39 United States Bronze Silver Gold
Example: ,[object Object]
Example: ,[object Object]
Example ,[object Object]
At Least One ,[object Object]
Example: ,[object Object]
Example ,[object Object]
Example ,[object Object]
Example: ,[object Object]
Example: ,[object Object]
Example: ,[object Object]
Example: ,[object Object]
Fundamental Counting Rule ,[object Object]
Example ,[object Object]
Example: ,[object Object]
[object Object],[object Object],[object Object]
Factorial Rule ,[object Object]
Example: ,[object Object]
Example: ,[object Object]
Permutation ,[object Object]
Example ,[object Object]
[object Object]
Combination ,[object Object]
Combination Rule ,[object Object],[object Object]
Example: ,[object Object]
Example: ,[object Object]
Example: ,[object Object]
Example ,[object Object]
Example ,[object Object]
Example: ,[object Object]
Example: ,[object Object],[object Object]
Example: ,[object Object],[object Object]
Example: ,[object Object],[object Object]
Example: ,[object Object],[object Object]
Example: ,[object Object],[object Object]
Example: ,[object Object],[object Object]
Example: ,[object Object],[object Object]
Example: ,[object Object],[object Object]
Example: ,[object Object],[object Object]
Example: ,[object Object],[object Object]

Recommandé

Chapter 4
Chapter 4Chapter 4
Chapter 4Rose Jenkins
 
Chapter 4- probability
Chapter 4- probabilityChapter 4- probability
Chapter 4- probabilityKhushboo Khanna
 
Introduction to probability
Introduction to probabilityIntroduction to probability
Introduction to probabilityGlobal Polis
 
Chapter 5
Chapter 5Chapter 5
Chapter 5guest3720ca
 
Chapter 5
Chapter 5Chapter 5
Chapter 5Rose Jenkins
 
Normaldistribution questions
Normaldistribution questionsNormaldistribution questions
Normaldistribution questionsIIUM
 
Unit 1-probability
Unit 1-probabilityUnit 1-probability
Unit 1-probabilityRai University
 
Probability - I
Probability - IProbability - I
Probability - IBirinder Singh Gulati
 

Recommandé

Chapter 4
Chapter 4Chapter 4
Chapter 4Rose Jenkins
 
Chapter 4- probability
Chapter 4- probabilityChapter 4- probability
Chapter 4- probabilityKhushboo Khanna
 
Introduction to probability
Introduction to probabilityIntroduction to probability
Introduction to probabilityGlobal Polis
 
Chapter 5
Chapter 5Chapter 5
Chapter 5guest3720ca
 
Chapter 5
Chapter 5Chapter 5
Chapter 5Rose Jenkins
 
Normaldistribution questions
Normaldistribution questionsNormaldistribution questions
Normaldistribution questionsIIUM
 
Unit 1-probability
Unit 1-probabilityUnit 1-probability
Unit 1-probabilityRai University
 
Probability - I
Probability - IProbability - I
Probability - IBirinder Singh Gulati
 
You must not work with another person on this exam Experience Tradition/tutor...
You must not work with another person on this exam Experience Tradition/tutor...You must not work with another person on this exam Experience Tradition/tutor...
You must not work with another person on this exam Experience Tradition/tutor...pinck336896
 
Conditional probability, and probability trees
Conditional probability, and probability treesConditional probability, and probability trees
Conditional probability, and probability treesGlobal Polis
 
Probability and counting rules
Probability and counting rulesProbability and counting rules
Probability and counting rulesCikgu Marzuqi
 
Rafeek
RafeekRafeek
Rafeekraberafe
 
Probability concepts for Data Analytics
Probability concepts for Data AnalyticsProbability concepts for Data Analytics
Probability concepts for Data AnalyticsSSaudia
 
Solution to final exam engineering statistics 2014 2015
Solution to final exam engineering statistics 2014 2015Solution to final exam engineering statistics 2014 2015
Solution to final exam engineering statistics 2014 2015Chenar Salam
 
Probability distribution
Probability distributionProbability distribution
Probability distributionNafiur Rahman Tuhin
 
4 1 probability and discrete probability distributions
4 1 probability and discrete probability distributions4 1 probability and discrete probability distributions
4 1 probability and discrete probability distributionsLama K Banna
 
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
 
Binomial distribution good
Binomial distribution goodBinomial distribution good
Binomial distribution goodZahida Pervaiz
 
6. prob. assignment (1)
6. prob. assignment (1)6. prob. assignment (1)
6. prob. assignment (1)Karan Kukreja
 
Applied 40S April 20, 2009
Applied 40S April 20, 2009Applied 40S April 20, 2009
Applied 40S April 20, 2009Darren Kuropatwa
 
Probability
ProbabilityProbability
Probabilitynitishguptamaps
 
Chapter 09
Chapter 09 Chapter 09
Chapter 09 Tuul Tuul
 
Basic Concepts of Probability
Basic Concepts of ProbabilityBasic Concepts of Probability
Basic Concepts of ProbabilityLong Beach City College
 
Mathematics PROBABILITY !!!!!!!!
Mathematics PROBABILITY !!!!!!!!Mathematics PROBABILITY !!!!!!!!
Mathematics PROBABILITY !!!!!!!!Sumit9910
 
Probability
Probability Probability
Probability Parag Shah
 
STAT 200 Final Exam (FALL 2016)
STAT 200 Final Exam (FALL 2016)STAT 200 Final Exam (FALL 2016)
STAT 200 Final Exam (FALL 2016)Vhristofer
 
Probability basics and bayes' theorem
Probability basics and bayes' theoremProbability basics and bayes' theorem
Probability basics and bayes' theoremBalaji P
 
Chapter10
Chapter10Chapter10
Chapter10Richard Ferreria
 
Probability ppt by Shivansh J.
Probability ppt by Shivansh J.Probability ppt by Shivansh J.
Probability ppt by Shivansh J.shivujagga
 
Basic Concept Of Probability
Basic Concept Of ProbabilityBasic Concept Of Probability
Basic Concept Of Probabilityguest45a926
 

Contenu connexe

Tendances

You must not work with another person on this exam Experience Tradition/tutor...
You must not work with another person on this exam Experience Tradition/tutor...You must not work with another person on this exam Experience Tradition/tutor...
You must not work with another person on this exam Experience Tradition/tutor...pinck336896
 
Conditional probability, and probability trees
Conditional probability, and probability treesConditional probability, and probability trees
Conditional probability, and probability treesGlobal Polis
 
Probability and counting rules
Probability and counting rulesProbability and counting rules
Probability and counting rulesCikgu Marzuqi
 
Probability concepts for Data Analytics
Probability concepts for Data AnalyticsProbability concepts for Data Analytics
Probability concepts for Data AnalyticsSSaudia
 
Solution to final exam engineering statistics 2014 2015
Solution to final exam engineering statistics 2014 2015Solution to final exam engineering statistics 2014 2015
Solution to final exam engineering statistics 2014 2015Chenar Salam
 
4 1 probability and discrete probability distributions
4 1 probability and discrete probability distributions4 1 probability and discrete probability distributions
4 1 probability and discrete probability distributionsLama K Banna
 
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
 
Binomial distribution good
Binomial distribution goodBinomial distribution good
Binomial distribution goodZahida Pervaiz
 
6. prob. assignment (1)
6. prob. assignment (1)6. prob. assignment (1)
6. prob. assignment (1)Karan Kukreja
 
Applied 40S April 20, 2009
Applied 40S April 20, 2009Applied 40S April 20, 2009
Applied 40S April 20, 2009Darren Kuropatwa
 
Mathematics PROBABILITY !!!!!!!!
Mathematics PROBABILITY !!!!!!!!Mathematics PROBABILITY !!!!!!!!
Mathematics PROBABILITY !!!!!!!!Sumit9910
 
STAT 200 Final Exam (FALL 2016)
STAT 200 Final Exam (FALL 2016)STAT 200 Final Exam (FALL 2016)
STAT 200 Final Exam (FALL 2016)Vhristofer
 
Probability basics and bayes' theorem
Probability basics and bayes' theoremProbability basics and bayes' theorem
Probability basics and bayes' theoremBalaji P
 

Tendances (20)

You must not work with another person on this exam Experience Tradition/tutor...
You must not work with another person on this exam Experience Tradition/tutor...You must not work with another person on this exam Experience Tradition/tutor...
You must not work with another person on this exam Experience Tradition/tutor...
 
Conditional probability, and probability trees
Conditional probability, and probability treesConditional probability, and probability trees
Conditional probability, and probability trees
 
Probability and counting rules
Probability and counting rulesProbability and counting rules
Probability and counting rules
 
Rafeek
RafeekRafeek
Rafeek
 
Probability concepts for Data Analytics
Probability concepts for Data AnalyticsProbability concepts for Data Analytics
Probability concepts for Data Analytics
 
Solution to final exam engineering statistics 2014 2015
Solution to final exam engineering statistics 2014 2015Solution to final exam engineering statistics 2014 2015
Solution to final exam engineering statistics 2014 2015
 
Probability distribution
Probability distributionProbability distribution
Probability distribution
 
4 1 probability and discrete probability distributions
4 1 probability and discrete probability distributions4 1 probability and discrete probability distributions
4 1 probability and discrete probability distributions
 
5. probability qt 1st tri semester
5. probability qt 1st tri semester 5. probability qt 1st tri semester
5. probability qt 1st tri semester
 
Binomial distribution good
Binomial distribution goodBinomial distribution good
Binomial distribution good
 
6. prob. assignment (1)
6. prob. assignment (1)6. prob. assignment (1)
6. prob. assignment (1)
 
Applied 40S April 20, 2009
Applied 40S April 20, 2009Applied 40S April 20, 2009
Applied 40S April 20, 2009
 
Probability
ProbabilityProbability
Probability
 
Chapter 09
Chapter 09 Chapter 09
Chapter 09
 
Basic Concepts of Probability
Basic Concepts of ProbabilityBasic Concepts of Probability
Basic Concepts of Probability
 
Mathematics PROBABILITY !!!!!!!!
Mathematics PROBABILITY !!!!!!!!Mathematics PROBABILITY !!!!!!!!
Mathematics PROBABILITY !!!!!!!!
 
Probability
Probability Probability
Probability
 
STAT 200 Final Exam (FALL 2016)
STAT 200 Final Exam (FALL 2016)STAT 200 Final Exam (FALL 2016)
STAT 200 Final Exam (FALL 2016)
 
Probability basics and bayes' theorem
Probability basics and bayes' theoremProbability basics and bayes' theorem
Probability basics and bayes' theorem
 
Chapter10
Chapter10Chapter10
Chapter10
 

En vedette

Probability ppt by Shivansh J.
Probability ppt by Shivansh J.Probability ppt by Shivansh J.
Probability ppt by Shivansh J.shivujagga
 
Basic Concept Of Probability
Basic Concept Of ProbabilityBasic Concept Of Probability
Basic Concept Of Probabilityguest45a926
 
Probability basics
Probability basicsProbability basics
Probability basicsSavi Arora
 
Math 1300: Section 8-1 Sample Spaces, Events, and Probability
Math 1300: Section 8-1 Sample Spaces, Events, and ProbabilityMath 1300: Section 8-1 Sample Spaces, Events, and Probability
Math 1300: Section 8-1 Sample Spaces, Events, and ProbabilityJason Aubrey
 
Chapter 4 260110 044531
Chapter 4 260110 044531Chapter 4 260110 044531
Chapter 4 260110 044531guest25d353
 
Math 1300: Section 8-3 Conditional Probability, Intersection, and Independence
Math 1300: Section 8-3 Conditional Probability, Intersection, and IndependenceMath 1300: Section 8-3 Conditional Probability, Intersection, and Independence
Math 1300: Section 8-3 Conditional Probability, Intersection, and IndependenceJason Aubrey
 
Probability By Ms Aarti
Probability By Ms AartiProbability By Ms Aarti
Probability By Ms Aartikulachihansraj
 
Discrete Probability Distributions
Discrete Probability DistributionsDiscrete Probability Distributions
Discrete Probability Distributionsmandalina landy
 
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 RULESBhargavi Bhanu
 
Basic Probability
Basic Probability Basic Probability
Basic Probability kaurab
 
Probability Powerpoint
Probability PowerpointProbability Powerpoint
Probability Powerpointspike2904
 

En vedette (12)

Probability ppt by Shivansh J.
Probability ppt by Shivansh J.Probability ppt by Shivansh J.
Probability ppt by Shivansh J.
 
Basic Concept Of Probability
Basic Concept Of ProbabilityBasic Concept Of Probability
Basic Concept Of Probability
 
Probability basics
Probability basicsProbability basics
Probability basics
 
Math 1300: Section 8-1 Sample Spaces, Events, and Probability
Math 1300: Section 8-1 Sample Spaces, Events, and ProbabilityMath 1300: Section 8-1 Sample Spaces, Events, and Probability
Math 1300: Section 8-1 Sample Spaces, Events, and Probability
 
Chapter 4 260110 044531
Chapter 4 260110 044531Chapter 4 260110 044531
Chapter 4 260110 044531
 
Math 1300: Section 8-3 Conditional Probability, Intersection, and Independence
Math 1300: Section 8-3 Conditional Probability, Intersection, and IndependenceMath 1300: Section 8-3 Conditional Probability, Intersection, and Independence
Math 1300: Section 8-3 Conditional Probability, Intersection, and Independence
 
Probability By Ms Aarti
Probability By Ms AartiProbability By Ms Aarti
Probability By Ms Aarti
 
Probability
ProbabilityProbability
Probability
 
Discrete Probability Distributions
Discrete Probability DistributionsDiscrete Probability Distributions
Discrete Probability Distributions
 
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
 
Basic Probability
Basic Probability Basic Probability
Basic Probability
 
Probability Powerpoint
Probability PowerpointProbability Powerpoint
Probability Powerpoint
 

Similaire à Chapter 4

Unit 11.2 theoretical probability
Unit 11.2 theoretical probabilityUnit 11.2 theoretical probability
Unit 11.2 theoretical probabilityMark Ryder
 
THE ADDITION RULES FOR PROBABILITY.pptx
THE ADDITION RULES FOR PROBABILITY.pptxTHE ADDITION RULES FOR PROBABILITY.pptx
THE ADDITION RULES FOR PROBABILITY.pptxvictormiralles2
 
Statistik Chapter 3
Statistik Chapter 3Statistik Chapter 3
Statistik Chapter 3WanBK Leo
 
Binomial distribution
Binomial distributionBinomial distribution
Binomial distributionGlobal Polis
 
probability and its functions with purpose in the world's situation .pptx
probability and its functions with purpose in the world's situation .pptxprobability and its functions with purpose in the world's situation .pptx
probability and its functions with purpose in the world's situation .pptxJamesAlvaradoManligu
 
Biostats Origional
Biostats OrigionalBiostats Origional
Biostats Origionalsanchitbaba
 
Probability definitions and properties
Probability definitions and propertiesProbability definitions and properties
Probability definitions and propertiesHamza Qureshi
 
Algebra unit 9.6.2
Algebra unit 9.6.2Algebra unit 9.6.2
Algebra unit 9.6.2Mark Ryder
 
Algebra unit 9.6.2
Algebra unit 9.6.2Algebra unit 9.6.2
Algebra unit 9.6.2Mark Ryder
 
Chapter 8-hypothesis-testing-1211425712197151-9
Chapter 8-hypothesis-testing-1211425712197151-9Chapter 8-hypothesis-testing-1211425712197151-9
Chapter 8-hypothesis-testing-1211425712197151-9stone66
 
Chapter 8 – Hypothesis Testing
Chapter 8 – Hypothesis TestingChapter 8 – Hypothesis Testing
Chapter 8 – Hypothesis Testingguest3720ca
 
Chapter 8 – Hypothesis Testing
Chapter 8 – Hypothesis TestingChapter 8 – Hypothesis Testing
Chapter 8 – Hypothesis TestingRose Jenkins
 
1 Review and Practice Exam Questions for Exam 2 Lea.docx
1 Review and Practice Exam Questions for Exam 2 Lea.docx1 Review and Practice Exam Questions for Exam 2 Lea.docx
1 Review and Practice Exam Questions for Exam 2 Lea.docxmercysuttle
 
lesson4-intrduction to probability grade10
lesson4-intrduction to probability grade10lesson4-intrduction to probability grade10
lesson4-intrduction to probability grade10CharlesIanVArnado
 
Sqqs1013 ch3-a112
Sqqs1013 ch3-a112Sqqs1013 ch3-a112
Sqqs1013 ch3-a112kim rae KI
 

Similaire à Chapter 4 (20)

Probability 2
Probability 2Probability 2
Probability 2
 
Unit 11.2 theoretical probability
Unit 11.2 theoretical probabilityUnit 11.2 theoretical probability
Unit 11.2 theoretical probability
 
THE ADDITION RULES FOR PROBABILITY.pptx
THE ADDITION RULES FOR PROBABILITY.pptxTHE ADDITION RULES FOR PROBABILITY.pptx
THE ADDITION RULES FOR PROBABILITY.pptx
 
Statistik Chapter 3
Statistik Chapter 3Statistik Chapter 3
Statistik Chapter 3
 
Binomial distribution
Binomial distributionBinomial distribution
Binomial distribution
 
probability and its functions with purpose in the world's situation .pptx
probability and its functions with purpose in the world's situation .pptxprobability and its functions with purpose in the world's situation .pptx
probability and its functions with purpose in the world's situation .pptx
 
Chapter 4
Chapter 4Chapter 4
Chapter 4
 
Biostats Origional
Biostats OrigionalBiostats Origional
Biostats Origional
 
Probability and Distribution
Probability and DistributionProbability and Distribution
Probability and Distribution
 
Probability definitions and properties
Probability definitions and propertiesProbability definitions and properties
Probability definitions and properties
 
Chapter 05
Chapter 05 Chapter 05
Chapter 05
 
Algebra unit 9.6.2
Algebra unit 9.6.2Algebra unit 9.6.2
Algebra unit 9.6.2
 
Algebra unit 9.6.2
Algebra unit 9.6.2Algebra unit 9.6.2
Algebra unit 9.6.2
 
Chapter 8-hypothesis-testing-1211425712197151-9
Chapter 8-hypothesis-testing-1211425712197151-9Chapter 8-hypothesis-testing-1211425712197151-9
Chapter 8-hypothesis-testing-1211425712197151-9
 
Chapter 8 – Hypothesis Testing
Chapter 8 – Hypothesis TestingChapter 8 – Hypothesis Testing
Chapter 8 – Hypothesis Testing
 
Chapter 8 – Hypothesis Testing
Chapter 8 – Hypothesis TestingChapter 8 – Hypothesis Testing
Chapter 8 – Hypothesis Testing
 
1 Review and Practice Exam Questions for Exam 2 Lea.docx
1 Review and Practice Exam Questions for Exam 2 Lea.docx1 Review and Practice Exam Questions for Exam 2 Lea.docx
1 Review and Practice Exam Questions for Exam 2 Lea.docx
 
Week 2 notes.ppt
Week 2 notes.pptWeek 2 notes.ppt
Week 2 notes.ppt
 
lesson4-intrduction to probability grade10
lesson4-intrduction to probability grade10lesson4-intrduction to probability grade10
lesson4-intrduction to probability grade10
 
Sqqs1013 ch3-a112
Sqqs1013 ch3-a112Sqqs1013 ch3-a112
Sqqs1013 ch3-a112
 

Plus de guest3720ca

Chapter 7 – Confidence Intervals And Sample Size
Chapter 7 – Confidence Intervals And Sample SizeChapter 7 – Confidence Intervals And Sample Size
Chapter 7 – Confidence Intervals And Sample Sizeguest3720ca
 

Plus de guest3720ca (6)

Chapter 10
Chapter 10Chapter 10
Chapter 10
 
Chapter 7 – Confidence Intervals And Sample Size
Chapter 7 – Confidence Intervals And Sample SizeChapter 7 – Confidence Intervals And Sample Size
Chapter 7 – Confidence Intervals And Sample Size
 
Chapter 6
Chapter 6Chapter 6
Chapter 6
 
Chapter 3
Chapter 3Chapter 3
Chapter 3
 
Chapter 2
Chapter 2Chapter 2
Chapter 2
 
Chapter 1
Chapter 1Chapter 1
Chapter 1
 

Dernier

Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)wesley chun
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
Developing An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of BrazilDeveloping An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of BrazilV3cube
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdflior mazor
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Scriptwesley chun
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessAdvantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessPixlogix Infotech
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024The Digital Insurer
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProduct Anonymous
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?Antenna Manufacturer Coco
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoffsammart93
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024The Digital Insurer
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobeapidays
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CVKhem
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slidevu2urc
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...apidays
 

Dernier (20)

Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
 
Developing An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of BrazilDeveloping An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of Brazil
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessAdvantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your Business
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 

Chapter 4

  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.
  • 27.
  • 28.
  • 29.
  • 30.
  • 31.
  • 32.
  • 33.
  • 34.
  • 35.
  • 36.
  • 37.
  • 38.
  • 39.
  • 40.
  • 41.
  • 42.
  • 43.
  • 44.
  • 45.
  • 46.
  • 47.
  • 48.
  • 49.
  • 50.
  • 51.
  • 52.
  • 53.
  • 54.
  • 55.
  • 56.
  • 57.
  • 58.
  • 59.
  • 60.
  • 61.
  • 62.
  • 63.
  • 64.
  • 65.
  • 66.
  • 67.
  • 68.
  • 69.
  • 70.
  • 71.
  • 72.
  • 73.
  • 74.
  • 75.
  • 76.
  • 77.
  • 78.
  • 79.
  • 80.
  • 81.
  • 82.
  • 83.
  • 84.
  • 85.
  • 86.
  • 87.
  • 88.
  • 89.
  • 90.
  • 91.
  • 92.
  • 93.
  • 94.
  • 95.
  • 96.
  • 97.
  • 98.
  • 99.
  • 100.
  • 101.
  • 102.
  • 103.
  • 104.
  • 105.
  • 106.
  • 107.
  • 108.
  • 109.