Propability of hitchhikers being picked up

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Homework Help Overview

The discussion revolves around a probability problem involving hitchhikers and the Poisson distribution. The scenario describes a situation where four hitchhikers are waiting for rides on a country road, with an average of 30 cars passing per hour, and seeks to determine the probability that all hitchhikers will be picked up within a specified time frame.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • The original poster attempts to apply the Poisson distribution to calculate the probability of four cars passing by in 10 minutes. They express uncertainty about their approach and the implications of their calculations, particularly regarding the need to account for more than four cars passing.

Discussion Status

Participants have engaged in clarifying the approach to the problem, with one suggesting the use of the cumulative distribution function to find the probability of at least four cars passing. There is acknowledgment of the original poster's realization regarding the need to consider additional cars beyond four, indicating a productive direction in the discussion.

Contextual Notes

The original poster notes their confusion with the concepts involved in statistics and distributions, indicating a learning context where foundational understanding is being developed.

SimpliciusH
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I apologize if I'm posting this in the wrong subforum, I wasn't quite sure where statistics and distribution questions should go. I have major problems understanding the concepts involved with this kind of stuff.

Homework Statement



On a country road an average of 30 cars pass per hour. Four hitch-hikers are standing near a sign and waiting for a lift. Supposing each driver is glad to take exactly one hitch-hiker, what is the probability that all the hitch-hikers will have found someone to take them to their destination after 10 minutes?

Homework Equations



Poisson distribution
55978f02e2b22e9a93943595030ecf64.png


The Attempt at a Solution


I'm not quite sure how to approach this. At first glance this seems to be a Poisson distribution since I'm searching for the probability of 4 cars passing by in 10 minutes, and any particular car passing by doesn't seem to (in my opinion) change the probability of any other car passing by.

55978f02e2b22e9a93943595030ecf64.png


So I took k=4, since I was interested in four cars passing by and I took lambda as 5, I got a probability of 0.17546 (17.5%), which intuitively seems a bit low considering lambda.

Is this naive approach correct or am I missing something?

Thanks for the help!

Edit:
A second after posting I realized that I've only calculated the probability for exactly four cars passing by, but the set conditions are also fulfilled if any number of cars greater than 4 pass by in those 10 minutes. How can I account for this?
 
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Use P(X ≥ 4) = 1 - P(X < 4)
 
LCKurtz said:
Use P(X ≥ 4) = 1 - P(X < 4)

Ok, that seems blindingly obvious in retrospect, have no idea how I missed it.
Thank you for the help! :)

This is then the correct answer:
P(X ≥ 4) = 1 - P(X < 4) = 1 - P(X = 0) - P(X=1) - P(X=2) - P(X=3)
P(X ≥ 4) = 0,73497

A probability of 73,5%.
 
SimpliciusH said:
Ok, that seems blindingly obvious in retrospect, have no idea how I missed it.
Thank you for the help! :)

This is then the correct answer:
P(X ≥ 4) = 1 - P(X < 4) = 1 - P(X = 0) - P(X=1) - P(X=2) - P(X=3)
P(X ≥ 4) = 0,73497

A probability of 73,5%.

I wouldn't phrase it as a percent. Probabilities are numbers between 0 and 1.
 
LCKurtz said:
I wouldn't phrase it as a percent. Probabilities are numbers between 0 and 1.

Will remember that, I'm new to this so please don't refrain from pointing out any other things like that.
 

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