Transportation Stat Courtney Quarles
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This document discusses probabilities related to transportation safety. It defines theoretical and empirical probabilities and how to calculate empirical probability based on observed occurrences. It then provides examples of calculating the probability of not dying from various forms of transportation, including airplanes, motorcycles, buses, subways, and motor vehicles. The document cites several works for the probability statistics used in the examples.
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Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
UiPath Test Automation using UiPath Test Suite series, part 6
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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with AI-powered low-code, presentation by George Aspiotis, Sr. Partner Development Manager, Microsoft
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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>