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Ichose to read an article in Automotive Fleet, a leasing management magazine for

ID: 2947218 • Letter: I

Question

Ichose to read an article in Automotive Fleet, a leasing management magazine for cars and trucks. https://www.automotive-fleet.com/129925/study-underscores-value-of-onstar-s-injury-prediction-service The article "Study Confirms Value of OnStar's Injury Prediction" is about how the wireless communication system "Onstar", when enabled, allows a call center to help drivers in need of help or assistance. The article highlights OnStar's "Injury Severity Prediction" (ISP) service. The ISP service analyzes and determines "the probability of severe injury to the vehicle occupants". The article informs that the ISP is an algorithm OnStar uses in various vehicles, to access the probability severe injury. A couple of things it analyzes are force of impact and direction of impact. These two criteria help them determine the severity of injury and what "level" or "priority" needs to be assigned to the call. Being able to predict the severity of a crash grants the crash victims a better chance of survival. The ISP rating (of the crash) is then relayed to "911" centers so they can respond appropriately. For example: Is it a minor crash and the occupants can be transported to a local hospital by ambulance, or is it a severe injury where they need to be transported to a trauma center by helicopter. The article notes that the study conducted did confirm that under real-world conditions, injury severity can be predicted by using vehicle data collected

Explanation / Answer

Generally in data analysis we compute all estimates

Based on samples. And conclude or interpret respective

Result. But some time we have to cross with probabilities.

That is the "Empirical type of probabilities". Which can computed by using or it is the ratio of number of objects

Possessing an event to the total number of objects in our

experiment.we can call objects possesing event by favorable

Events.

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