What percentage of non-fatal accidents are caused by drivers who do not text?

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Homework Help Overview

The discussion revolves around a probability problem related to auto accidents, specifically focusing on the impact of texting while driving on both fatal and non-fatal accidents. The original poster presents a scenario with given probabilities and seeks to determine the percentage of non-fatal accidents caused by drivers who do not text.

Discussion Character

  • Exploratory, Assumption checking, Mathematical reasoning

Approaches and Questions Raised

  • Participants explore the relationships between different probabilities, questioning the interpretations of conditional probabilities and their implications on the problem. There is an attempt to clarify the definitions of terms like P(F|T) and P(T|F), and how they relate to the overall context of the problem.

Discussion Status

The discussion is ongoing, with participants providing hints and clarifications regarding the interpretation of the probabilities involved. There is an exploration of how to correctly apply the given data to find the desired percentage, but no consensus or resolution has been reached yet.

Contextual Notes

Participants note potential misunderstandings regarding the problem's assumptions and the definitions of the probabilities. The original poster expresses uncertainty about their approach, indicating a need for further clarification on the problem setup.

DotKite
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Homework Statement




A study of texting and driving has found that 40% of all fatal auto accidents
are attributed to texting drivers, 1% of all auto accidents are fatal, and
drivers who text while driving are responsible for 20% of all accidents. Find
the percentage of non-fatal accidents caused by drivers who do not text.

Homework Equations





The Attempt at a Solution



Let T denote texting while driving and let F denote fatal accidents.

P(F|T) = .40
P(F) = .01
P(T) = .2

I guess we are trying to find
p(F[itex]^{c}[/itex]|T[itex]^{c}[/itex]
= (p(F[itex]^{c}[/itex][itex]\bigcap[/itex] T[itex]^{c}[/itex]) / p(T[itex]^{c}[/itex]

We know p(F|T) = p(F[itex]\bigcap[/itex]T) / p(T) = 0.4 => p(F[itex]\bigcap[/itex]T) = 0.08

Also p(F[itex]^{c}[/itex] [itex]\bigcap[/itex]T[itex]^{c}[/itex]) = 1 - p(F[itex]\bigcup[/itex]T)

p(F[itex]\bigcup[/itex]T) = p(F) + p(T) - p(F [itex]\bigcap[/itex]T) = .01 + .2 - .08 = .13

I am going to stop here because when I start plugging in everything I have I wind up with the wrong answer. Is ther an assumption I have wrong or have interpreted, as usual, the problem wrong?
 
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P(F|T) = .40
That would be "For texting drivers, 40% of all accidents are fatal", which does not match the problem statement.
 
So would it be p(F[itex]\bigcap[/itex]T) = .40?


You got any hints?
 
Last edited:
DotKite said:
So would it be p(F[itex]\bigcap[/itex]T) = .40?


You got any hints?

Now that reads "in 40% of all accidents the accident was fatal and the driver was texting". Still not what you want, given the probability of a fatal accident is only 0.01. Try again. Read these probability statement back in english. Here's a big hint. What does P(T|F) mean? State it in english.
 
P(T|F) reads the probability of an accident being caused by texting, given that it was fatal?
 
DotKite said:
P(T|F) reads the probability of an accident being caused by texting, given that it was fatal?

Ok, but, you should read it a little more literally. Nobody said anything about texting being the cause. It is just the probability that driver was texting given the accident was fatal. Now what's the value of that given the problem statement?
 
0.4?
 
Imagine 1000 accidents. "1% of all auto accidents are fatal" so there are 10 fatal accidents. "40% of all fatal auto accidents are attributed to texting drivers" so 4 of those fatal accidents are attributable to texting. "drivers who text while driving are responsible for 20% of all accidents" so 200 accidents are attributable to drivers who text.

That is, out of 200 accidents attributable to drivers who text, 4 of them are fatal and 16 are not fatal.
 
DotKite said:
0.4?

Yes, there's a big difference between P(T|F) and P(F|T). You might want to take another look at the expression you wrote for what you are trying to find.
 
  • #10
HallsofIvy said:
Imagine 1000 accidents. "1% of all auto accidents are fatal" so there are 10 fatal accidents. "40% of all fatal auto accidents are attributed to texting drivers" so 4 of those fatal accidents are attributable to texting. "drivers who text while driving are responsible for 20% of all accidents" so 200 accidents are attributable to drivers who text.

That is, out of 200 accidents attributable to drivers who text, 4 of them are fatal and 16 are not fatal.
Typo (?):
... and 196 are not fatal.
 
  • #11
haruspex said:
Typo (?):
... and 196 are not fatal.
Yes, thanks. Unfortunately, I can no longer edit it so I cannot pretend I didn't make that blunder!
 

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