SlideShare uma empresa Scribd logo
1 de 11
Statistics of Transportation safety by Courtney Quarles
What is Probability? Two types of Probability: 		-Theoretical probability 		-Empirical probability Theoretical Probability: Applies to situations in which the sample space only contains equally likely outcomes, all of which are known. Empirical Probability: Applies to situations on which we observe the frequency of occurrence of an event.
Words to know Experiment:		Any occurrence for which the outcome 			is uncertain, denoted by E. Sample space: 	The set of all possible outcomes of an 			experiment, denoted by S. Computing Empirical Probability The empirical probability of event E is P(E)   =   Observed number of times E occurs                   Total number of observed occurrences
Probability of an Event Not Occurring  The Probability of an event not occurring The probability that an event E will not occur is equal to 1 minus the probability that it will occur. P(not)  =  1 -  P(E)
Or Probabilities with Mutually Exclusive Events Mutually Exclusive events If it is impossible for events A and B to occur simultaneously, the events are said to be mutually exclusive. Or  Probabilities with mutually Exclusive Events If A and B are mutually exclusive events, then P (A or B) = P(A) + P(B)
What is the probability of not dying on an airplane? P (not)  =  1 -  P(E) P (not dying in airplane) = 1- P (not dying in airplane) P = 1 - (1/11,000,000) P = 0.9999999091
What is the probability of not dying on a Motorcycle? P (not)  =  1 -  P(E) P (not dying in motorcycle) = 1 – P (not dying in motorcycle) P = 1 – (1/1020) P = 0.9990196078
What is the probability of not getting struck by a metro bus? P(not)  =  1 -  P(E) P(not dying bicycling accident) = 1 - P(not dying in bicycle accident ) P = 1 – (1/4919) P = 0.9997967066
What is the probability of dying on the subway metro bus? P (not)  =  1 -  P(E) P (not dying on the subway) = 1- P (not dying on the subway)
What is the probability of dying in a Motor vehicle? P (not)  =  1 -  P(E) P (not dying in motor vehicle accident) = 1- P (not dying in motor vehicle accident) P = 1 - (1/84) P = 0.9880952381
Works Cited  Odds of Dying in Plane Crash. 2009. 6 December 2009. <http://www.rc-trucks.org/odds-of-dying-in-plane-crash.htm> Britt, Robert Roy. “The Odds of Dying.” 2009. 5 December 2009. <http://www.livescience.com/environment/050106_odds_of_dying.html>   Kebabjian, Richard. “Plane crash Info.” 2009. http://www.planecrashinfo.com/cause.htm Bureau Of Transportation Statistics. 2009. 6 December 2009. <http://www.bts.gov/publications/national_transportation_statistics/html/table_02_01.html>

Mais conteúdo relacionado

Destaque

Transportation Statistics Emily Salers
Transportation Statistics   Emily SalersTransportation Statistics   Emily Salers
Transportation Statistics Emily SalersRyan Pineda
 
Mla ‘ 10 .Annual Meeting report
Mla ‘ 10 .Annual Meeting reportMla ‘ 10 .Annual Meeting report
Mla ‘ 10 .Annual Meeting reportRyan Pineda
 
Pineda marketing library products and services to high school
Pineda   marketing library products and services to high schoolPineda   marketing library products and services to high school
Pineda marketing library products and services to high schoolRyan Pineda
 
Probability Of Death Shandy Ria Bryna
Probability Of  Death    Shandy  Ria  BrynaProbability Of  Death    Shandy  Ria  Bryna
Probability Of Death Shandy Ria BrynaRyan Pineda
 
Ethical decisions in prolonging life
Ethical decisions in prolonging lifeEthical decisions in prolonging life
Ethical decisions in prolonging lifeRyan Pineda
 
11.6 Probabilities Involving OR and NOT
11.6 Probabilities Involving OR and NOT11.6 Probabilities Involving OR and NOT
11.6 Probabilities Involving OR and NOTRyan Pineda
 

Destaque (6)

Transportation Statistics Emily Salers
Transportation Statistics   Emily SalersTransportation Statistics   Emily Salers
Transportation Statistics Emily Salers
 
Mla ‘ 10 .Annual Meeting report
Mla ‘ 10 .Annual Meeting reportMla ‘ 10 .Annual Meeting report
Mla ‘ 10 .Annual Meeting report
 
Pineda marketing library products and services to high school
Pineda   marketing library products and services to high schoolPineda   marketing library products and services to high school
Pineda marketing library products and services to high school
 
Probability Of Death Shandy Ria Bryna
Probability Of  Death    Shandy  Ria  BrynaProbability Of  Death    Shandy  Ria  Bryna
Probability Of Death Shandy Ria Bryna
 
Ethical decisions in prolonging life
Ethical decisions in prolonging lifeEthical decisions in prolonging life
Ethical decisions in prolonging life
 
11.6 Probabilities Involving OR and NOT
11.6 Probabilities Involving OR and NOT11.6 Probabilities Involving OR and NOT
11.6 Probabilities Involving OR and NOT
 

Mais de Ryan Pineda

Our lady of guadalupe powerpoint
Our lady of guadalupe powerpointOur lady of guadalupe powerpoint
Our lady of guadalupe powerpointRyan Pineda
 
Baptism 101 for rcia
Baptism 101 for rciaBaptism 101 for rcia
Baptism 101 for rciaRyan Pineda
 
Probability Tyler And Maya
Probability   Tyler And MayaProbability   Tyler And Maya
Probability Tyler And MayaRyan Pineda
 
How Safe Is Your Way Of Traveling Summer Gray
How Safe Is Your Way Of Traveling   Summer GrayHow Safe Is Your Way Of Traveling   Summer Gray
How Safe Is Your Way Of Traveling Summer GrayRyan Pineda
 
Measure of Dispersion
Measure of DispersionMeasure of Dispersion
Measure of DispersionRyan Pineda
 
Measures of Central Tendency
Measures of Central TendencyMeasures of Central Tendency
Measures of Central TendencyRyan Pineda
 
HSPA Workshop Presentation 2009
HSPA Workshop Presentation 2009HSPA Workshop Presentation 2009
HSPA Workshop Presentation 2009Ryan Pineda
 
11.7 Probabilities Involving And
11.7 Probabilities Involving And11.7 Probabilities Involving And
11.7 Probabilities Involving AndRyan Pineda
 
11.5 Probability with Fundamental Counting Principles, Permutation and Combin...
11.5 Probability with Fundamental Counting Principles, Permutation and Combin...11.5 Probability with Fundamental Counting Principles, Permutation and Combin...
11.5 Probability with Fundamental Counting Principles, Permutation and Combin...Ryan Pineda
 
Data Analysis Curriculum Overview
Data Analysis Curriculum OverviewData Analysis Curriculum Overview
Data Analysis Curriculum OverviewRyan Pineda
 
11.3 Combinations
11.3 Combinations11.3 Combinations
11.3 CombinationsRyan Pineda
 
11.4 Probability
11.4 Probability11.4 Probability
11.4 ProbabilityRyan Pineda
 
11.2 Permutations
11.2 Permutations11.2 Permutations
11.2 PermutationsRyan Pineda
 
11.1 Fundamental Counting Principle
11.1 Fundamental Counting Principle11.1 Fundamental Counting Principle
11.1 Fundamental Counting PrincipleRyan Pineda
 

Mais de Ryan Pineda (14)

Our lady of guadalupe powerpoint
Our lady of guadalupe powerpointOur lady of guadalupe powerpoint
Our lady of guadalupe powerpoint
 
Baptism 101 for rcia
Baptism 101 for rciaBaptism 101 for rcia
Baptism 101 for rcia
 
Probability Tyler And Maya
Probability   Tyler And MayaProbability   Tyler And Maya
Probability Tyler And Maya
 
How Safe Is Your Way Of Traveling Summer Gray
How Safe Is Your Way Of Traveling   Summer GrayHow Safe Is Your Way Of Traveling   Summer Gray
How Safe Is Your Way Of Traveling Summer Gray
 
Measure of Dispersion
Measure of DispersionMeasure of Dispersion
Measure of Dispersion
 
Measures of Central Tendency
Measures of Central TendencyMeasures of Central Tendency
Measures of Central Tendency
 
HSPA Workshop Presentation 2009
HSPA Workshop Presentation 2009HSPA Workshop Presentation 2009
HSPA Workshop Presentation 2009
 
11.7 Probabilities Involving And
11.7 Probabilities Involving And11.7 Probabilities Involving And
11.7 Probabilities Involving And
 
11.5 Probability with Fundamental Counting Principles, Permutation and Combin...
11.5 Probability with Fundamental Counting Principles, Permutation and Combin...11.5 Probability with Fundamental Counting Principles, Permutation and Combin...
11.5 Probability with Fundamental Counting Principles, Permutation and Combin...
 
Data Analysis Curriculum Overview
Data Analysis Curriculum OverviewData Analysis Curriculum Overview
Data Analysis Curriculum Overview
 
11.3 Combinations
11.3 Combinations11.3 Combinations
11.3 Combinations
 
11.4 Probability
11.4 Probability11.4 Probability
11.4 Probability
 
11.2 Permutations
11.2 Permutations11.2 Permutations
11.2 Permutations
 
11.1 Fundamental Counting Principle
11.1 Fundamental Counting Principle11.1 Fundamental Counting Principle
11.1 Fundamental Counting Principle
 

Último

Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsMemoori
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piececharlottematthew16
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostZilliz
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 

Último (20)

Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial Buildings
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piece
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 

Transportation Stat Courtney Quarles

  • 1. Statistics of Transportation safety by Courtney Quarles
  • 2. What is Probability? Two types of Probability: -Theoretical probability -Empirical probability Theoretical Probability: Applies to situations in which the sample space only contains equally likely outcomes, all of which are known. Empirical Probability: Applies to situations on which we observe the frequency of occurrence of an event.
  • 3. Words to know Experiment: Any occurrence for which the outcome is uncertain, denoted by E. Sample space: The set of all possible outcomes of an experiment, denoted by S. Computing Empirical Probability The empirical probability of event E is P(E) = Observed number of times E occurs Total number of observed occurrences
  • 4. Probability of an Event Not Occurring The Probability of an event not occurring The probability that an event E will not occur is equal to 1 minus the probability that it will occur. P(not) = 1 - P(E)
  • 5. Or Probabilities with Mutually Exclusive Events Mutually Exclusive events If it is impossible for events A and B to occur simultaneously, the events are said to be mutually exclusive. Or Probabilities with mutually Exclusive Events If A and B are mutually exclusive events, then P (A or B) = P(A) + P(B)
  • 6. What is the probability of not dying on an airplane? P (not) = 1 - P(E) P (not dying in airplane) = 1- P (not dying in airplane) P = 1 - (1/11,000,000) P = 0.9999999091
  • 7. What is the probability of not dying on a Motorcycle? P (not) = 1 - P(E) P (not dying in motorcycle) = 1 – P (not dying in motorcycle) P = 1 – (1/1020) P = 0.9990196078
  • 8. What is the probability of not getting struck by a metro bus? P(not) = 1 - P(E) P(not dying bicycling accident) = 1 - P(not dying in bicycle accident ) P = 1 – (1/4919) P = 0.9997967066
  • 9. What is the probability of dying on the subway metro bus? P (not) = 1 - P(E) P (not dying on the subway) = 1- P (not dying on the subway)
  • 10. What is the probability of dying in a Motor vehicle? P (not) = 1 - P(E) P (not dying in motor vehicle accident) = 1- P (not dying in motor vehicle accident) P = 1 - (1/84) P = 0.9880952381
  • 11. Works Cited Odds of Dying in Plane Crash. 2009. 6 December 2009. <http://www.rc-trucks.org/odds-of-dying-in-plane-crash.htm> Britt, Robert Roy. “The Odds of Dying.” 2009. 5 December 2009. <http://www.livescience.com/environment/050106_odds_of_dying.html>   Kebabjian, Richard. “Plane crash Info.” 2009. http://www.planecrashinfo.com/cause.htm Bureau Of Transportation Statistics. 2009. 6 December 2009. <http://www.bts.gov/publications/national_transportation_statistics/html/table_02_01.html>