SlideShare a Scribd company logo
Statistics of transportation saftey By Maya Pitts  And  Tyler Holley
What is Probability? 1. the quality or fact of being probable.  2. a strong likelihood or chance of something: The probability of the book's success makes us optimistic.  3. a probable event, circumstance, etc.: Our going to China is a probability.  4. Statistics.  a. the relative possibility that an event will occur, as expressed by the ratio of the number of actual occurrences to the total number of possible occurrences.  b. the relative frequency with which an event occurs or is likely to occur.
TheoreticalProbability P(E) = = n(E) Number of outcomes in event E n(S) Total number of possible outcomes
EmpiricalProbability Observed number of times E occurs P(E) = Total number of observed occurrences
Probability of Color A spinner has 4 equal sectors colored yellow, blue, green and red. After spinning the spinner, what is the probability of landing on each color?  Outcomes:   The possible outcomes of this experiment are yellow, blue, green, and red. Probabilities:   P(yellow)  =  # of ways to land on yellow  =  1 total # of colors  4     P(blue)  =  # of ways to land on blue  =  1 total # of colors  4     P(green)  =  # of ways to land on green  =  1 total # of colors  4     P(red)  =  # of ways to land on red  =  1 total # of colors  4 
Probability of Marbles A glass jar contains 6 red, 5 green, 8 blue and 3 yellow marbles. If a single marble is chosen at random from the jar, what is the probability of choosing a red marble? a green marble? a blue marble? a yellow marble?  Outcomes:   The possible outcomes of this experiment are red, green, blue and yellow. Probabilities:    P(red)  =  # of ways to choose red  =   6   =   3  total # of marbles 22 11    P(green)  =  # of ways to choose green  =   5  total # of marbles 22    P(blue)  =  # of ways to choose blue  =   8   =   4  total # of marbles 22 11    P(yellow)  =  # of ways to choose yellow  =   3  total # of marbles 22
Probability of a die A single 6-sided die is rolled. What is the probability of each outcome? What is the probability of rolling an even number? of rolling an odd number? Outcomes:   The possible outcomes of this experiment are 1, 2, 3, 4, 5 and 6.  Probabilities:    P(1)  =  # of ways to roll a 1  =  1 total # of sides 6    P(2)  =  # of ways to roll a 2  =  1 total # of sides 6    P(3)  =  # of ways to roll a 3  =  1 total # of sides 6    P(4)  =  # of ways to roll a 4  =  1 total # of sides 6    P(5)  =  # of ways to roll a 5  =  1 total # of sides 6   P(6)  =  # of ways to roll a 6  =  1 total # of sides 6   P(even)  =  # ways to roll an even number  =  3  =  1 total # of sides 6 2    P(odd)  =  # ways to roll an odd number  =  3  =  1 total # of sides 6 2
What are Statistics? A numerical value, such as standard deviation or mean, that characterizes the sample or population from which it was derived. the numerical facts or data themselves.
Probability of Dying on a highway ,[object Object]
P(not) = 308,109,706/308,109,706 –(3,188,750/308,109,706 ) = 304,920,956 ,[object Object]
Work Cited http://www.mathgoodies.com/LESSONS/VOL6/intro_probability.html www.dictionary.com http:www.bts.gov/press_releases/2009/bts056_09/html/bts056_09.html// Thinking Mathematically

More Related Content

Similar to Probability Tyler And Maya

Probability (Elective)
Probability (Elective)Probability (Elective)
Probability (Elective)
KailaPasion
 
Lesson 11 3 theoretical probability
Lesson 11 3 theoretical probabilityLesson 11 3 theoretical probability
Lesson 11 3 theoretical probability
mlabuski
 
Lesson 11 3 theoretical probability
Lesson 11 3 theoretical probabilityLesson 11 3 theoretical probability
Lesson 11 3 theoretical probability
mlabuski
 
7.8 simple probability 1
7.8 simple probability   17.8 simple probability   1
7.8 simple probability 1
bweldon
 
Probability-Multiple-Event-Demonstration.pptx
Probability-Multiple-Event-Demonstration.pptxProbability-Multiple-Event-Demonstration.pptx
Probability-Multiple-Event-Demonstration.pptx
ReemTaha14
 
Probability Overview
Probability OverviewProbability Overview
Probability Overview
mmeddin
 
PROBABILITY BY ZOEN CUTE KAAYO SA KATANAN.pptx
PROBABILITY BY ZOEN CUTE KAAYO SA KATANAN.pptxPROBABILITY BY ZOEN CUTE KAAYO SA KATANAN.pptx
PROBABILITY BY ZOEN CUTE KAAYO SA KATANAN.pptx
ZorennaPlanas1
 

Similar to Probability Tyler And Maya (20)

Probability (Elective)
Probability (Elective)Probability (Elective)
Probability (Elective)
 
Probability
ProbabilityProbability
Probability
 
4.1-4.2 Sample Spaces and Probability
4.1-4.2 Sample Spaces and Probability4.1-4.2 Sample Spaces and Probability
4.1-4.2 Sample Spaces and Probability
 
Probability and Python.pptx
Probability and Python.pptxProbability and Python.pptx
Probability and Python.pptx
 
Lesson 11 3 theoretical probability
Lesson 11 3 theoretical probabilityLesson 11 3 theoretical probability
Lesson 11 3 theoretical probability
 
Lesson 11 3 theoretical probability
Lesson 11 3 theoretical probabilityLesson 11 3 theoretical probability
Lesson 11 3 theoretical probability
 
Probability
ProbabilityProbability
Probability
 
Basic probability Concepts and its application By Khubaib Raza
Basic probability Concepts and its application By Khubaib RazaBasic probability Concepts and its application By Khubaib Raza
Basic probability Concepts and its application By Khubaib Raza
 
Intro to probability - 1
Intro to probability - 1Intro to probability - 1
Intro to probability - 1
 
7.8 simple probability 1
7.8 simple probability   17.8 simple probability   1
7.8 simple probability 1
 
Probability By Ms Aarti
Probability By Ms AartiProbability By Ms Aarti
Probability By Ms Aarti
 
Probability
ProbabilityProbability
Probability
 
Probability-Multiple-Event-Demonstration.pptx
Probability-Multiple-Event-Demonstration.pptxProbability-Multiple-Event-Demonstration.pptx
Probability-Multiple-Event-Demonstration.pptx
 
SIM Basic Probability
SIM Basic ProbabilitySIM Basic Probability
SIM Basic Probability
 
Applied Math 40S March 5, 2008
Applied Math 40S March 5, 2008Applied Math 40S March 5, 2008
Applied Math 40S March 5, 2008
 
Probability Overview
Probability OverviewProbability Overview
Probability Overview
 
probability-181112173236.pdf
probability-181112173236.pdfprobability-181112173236.pdf
probability-181112173236.pdf
 
Probability
ProbabilityProbability
Probability
 
probability-120904030152-phpapp01.pdf
probability-120904030152-phpapp01.pdfprobability-120904030152-phpapp01.pdf
probability-120904030152-phpapp01.pdf
 
PROBABILITY BY ZOEN CUTE KAAYO SA KATANAN.pptx
PROBABILITY BY ZOEN CUTE KAAYO SA KATANAN.pptxPROBABILITY BY ZOEN CUTE KAAYO SA KATANAN.pptx
PROBABILITY BY ZOEN CUTE KAAYO SA KATANAN.pptx
 

More from Ryan Pineda

Baptism 101 for rcia
Baptism 101 for rciaBaptism 101 for rcia
Baptism 101 for rcia
Ryan Pineda
 
Ethical decisions in prolonging life
Ethical decisions in prolonging lifeEthical decisions in prolonging life
Ethical decisions in prolonging life
Ryan Pineda
 
Mla ‘ 10 .Annual Meeting report
Mla ‘ 10 .Annual Meeting reportMla ‘ 10 .Annual Meeting report
Mla ‘ 10 .Annual Meeting report
Ryan 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 school
Ryan Pineda
 
Probability Of Death Shandy Ria Bryna
Probability Of  Death    Shandy  Ria  BrynaProbability Of  Death    Shandy  Ria  Bryna
Probability Of Death Shandy Ria Bryna
Ryan Pineda
 
Transportation Statistics Emily Salers
Transportation Statistics   Emily SalersTransportation Statistics   Emily Salers
Transportation Statistics Emily Salers
Ryan Pineda
 
Transportation Stat Courtney Quarles
Transportation Stat   Courtney QuarlesTransportation Stat   Courtney Quarles
Transportation Stat Courtney Quarles
Ryan Pineda
 
Transportation Safety Valerie Hall
Transportation Safety   Valerie HallTransportation Safety   Valerie Hall
Transportation Safety Valerie Hall
Ryan 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 Gray
Ryan Pineda
 
Measure of Dispersion
Measure of DispersionMeasure of Dispersion
Measure of Dispersion
Ryan Pineda
 
Measures of Central Tendency
Measures of Central TendencyMeasures of Central Tendency
Measures of Central Tendency
Ryan Pineda
 
HSPA Workshop Presentation 2009
HSPA Workshop Presentation 2009HSPA Workshop Presentation 2009
HSPA Workshop Presentation 2009
Ryan Pineda
 
11.7 Probabilities Involving And
11.7 Probabilities Involving And11.7 Probabilities Involving And
11.7 Probabilities Involving And
Ryan 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 NOT
Ryan 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
 
11.4 Probability
11.4 Probability11.4 Probability
11.4 Probability
Ryan Pineda
 

More from Ryan Pineda (20)

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
 
Ethical decisions in prolonging life
Ethical decisions in prolonging lifeEthical decisions in prolonging life
Ethical decisions in prolonging life
 
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
 
Transportation Statistics Emily Salers
Transportation Statistics   Emily SalersTransportation Statistics   Emily Salers
Transportation Statistics Emily Salers
 
Transportation Stat Courtney Quarles
Transportation Stat   Courtney QuarlesTransportation Stat   Courtney Quarles
Transportation Stat Courtney Quarles
 
Transportation Safety Valerie Hall
Transportation Safety   Valerie HallTransportation Safety   Valerie Hall
Transportation Safety Valerie Hall
 
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
 
11.6 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
 
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...
 
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
 

Recently uploaded

Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
Safe Software
 
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo DiehlFuture Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Peter Udo Diehl
 

Recently uploaded (20)

How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...
 
The architecture of Generative AI for enterprises.pdf
The architecture of Generative AI for enterprises.pdfThe architecture of Generative AI for enterprises.pdf
The architecture of Generative AI for enterprises.pdf
 
Powerful Start- the Key to Project Success, Barbara Laskowska
Powerful Start- the Key to Project Success, Barbara LaskowskaPowerful Start- the Key to Project Success, Barbara Laskowska
Powerful Start- the Key to Project Success, Barbara Laskowska
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
 
Salesforce Adoption – Metrics, Methods, and Motivation, Antone Kom
Salesforce Adoption – Metrics, Methods, and Motivation, Antone KomSalesforce Adoption – Metrics, Methods, and Motivation, Antone Kom
Salesforce Adoption – Metrics, Methods, and Motivation, Antone Kom
 
IoT Analytics Company Presentation May 2024
IoT Analytics Company Presentation May 2024IoT Analytics Company Presentation May 2024
IoT Analytics Company Presentation May 2024
 
Connector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a buttonConnector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a button
 
Free and Effective: Making Flows Publicly Accessible, Yumi Ibrahimzade
Free and Effective: Making Flows Publicly Accessible, Yumi IbrahimzadeFree and Effective: Making Flows Publicly Accessible, Yumi Ibrahimzade
Free and Effective: Making Flows Publicly Accessible, Yumi Ibrahimzade
 
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
 
Agentic RAG What it is its types applications and implementation.pdf
Agentic RAG What it is its types applications and implementation.pdfAgentic RAG What it is its types applications and implementation.pdf
Agentic RAG What it is its types applications and implementation.pdf
 
Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx
Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptxUnpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx
Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx
 
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo DiehlFuture Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
 
Key Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdfKey Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdf
 
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
 
UiPath Test Automation using UiPath Test Suite series, part 1
UiPath Test Automation using UiPath Test Suite series, part 1UiPath Test Automation using UiPath Test Suite series, part 1
UiPath Test Automation using UiPath Test Suite series, part 1
 
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
 
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
 
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
 
JMeter webinar - integration with InfluxDB and Grafana
JMeter webinar - integration with InfluxDB and GrafanaJMeter webinar - integration with InfluxDB and Grafana
JMeter webinar - integration with InfluxDB and Grafana
 
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
 

Probability Tyler And Maya

  • 1. Statistics of transportation saftey By Maya Pitts And Tyler Holley
  • 2. What is Probability? 1. the quality or fact of being probable. 2. a strong likelihood or chance of something: The probability of the book's success makes us optimistic. 3. a probable event, circumstance, etc.: Our going to China is a probability. 4. Statistics. a. the relative possibility that an event will occur, as expressed by the ratio of the number of actual occurrences to the total number of possible occurrences. b. the relative frequency with which an event occurs or is likely to occur.
  • 3. TheoreticalProbability P(E) = = n(E) Number of outcomes in event E n(S) Total number of possible outcomes
  • 4. EmpiricalProbability Observed number of times E occurs P(E) = Total number of observed occurrences
  • 5. Probability of Color A spinner has 4 equal sectors colored yellow, blue, green and red. After spinning the spinner, what is the probability of landing on each color? Outcomes:   The possible outcomes of this experiment are yellow, blue, green, and red. Probabilities:   P(yellow)  =  # of ways to land on yellow  =  1 total # of colors  4    P(blue)  =  # of ways to land on blue  =  1 total # of colors  4    P(green)  =  # of ways to land on green  =  1 total # of colors  4    P(red)  =  # of ways to land on red  =  1 total # of colors  4 
  • 6. Probability of Marbles A glass jar contains 6 red, 5 green, 8 blue and 3 yellow marbles. If a single marble is chosen at random from the jar, what is the probability of choosing a red marble? a green marble? a blue marble? a yellow marble? Outcomes:   The possible outcomes of this experiment are red, green, blue and yellow. Probabilities:   P(red)  =  # of ways to choose red  =   6   =   3  total # of marbles 22 11   P(green)  =  # of ways to choose green  =   5  total # of marbles 22   P(blue)  =  # of ways to choose blue  =   8   =   4  total # of marbles 22 11   P(yellow)  =  # of ways to choose yellow  =   3  total # of marbles 22
  • 7. Probability of a die A single 6-sided die is rolled. What is the probability of each outcome? What is the probability of rolling an even number? of rolling an odd number? Outcomes:   The possible outcomes of this experiment are 1, 2, 3, 4, 5 and 6. Probabilities:   P(1)  =  # of ways to roll a 1  =  1 total # of sides 6   P(2)  =  # of ways to roll a 2  =  1 total # of sides 6   P(3)  =  # of ways to roll a 3  =  1 total # of sides 6   P(4)  =  # of ways to roll a 4  =  1 total # of sides 6   P(5)  =  # of ways to roll a 5  =  1 total # of sides 6   P(6)  =  # of ways to roll a 6  =  1 total # of sides 6   P(even)  =  # ways to roll an even number  =  3  =  1 total # of sides 6 2   P(odd)  =  # ways to roll an odd number  =  3  =  1 total # of sides 6 2
  • 8. What are Statistics? A numerical value, such as standard deviation or mean, that characterizes the sample or population from which it was derived. the numerical facts or data themselves.
  • 9.
  • 10.
  • 11. Work Cited http://www.mathgoodies.com/LESSONS/VOL6/intro_probability.html www.dictionary.com http:www.bts.gov/press_releases/2009/bts056_09/html/bts056_09.html// Thinking Mathematically