How Is the Conditional PMF Calculated for Car Arrivals at a Toll Station?

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In summary, the conversation discusses the arrival rate of cars on a freeway at night and the conditional probability mass function of the number of cars that arrived within a specific time period. The Poisson process, known for its randomness, is used to analyze the arrival times of five cars during a three minute period starting at midnight. The conditional distribution of these arrival times is an important factor in determining the conditional pmf.
  • #1
maibs89
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Suppose that cars traveling at night on a freeway arrive at a toll station according to a Poisson process with rate alpha @=5 per minute. If five cars arrived in [0,3] (that is, during a three minute period starting at midnight), what is the conditional pmf of the number of cars that arrived in [0,1] (during the first minute of the period)?
 
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  • #2
Welcome to PF

What do you mean by pmf? Probability mass function?

Anyways, You condition on the even that up t=3 five cars arrived. what do you know about the conditional distribution of the arrival times of these five cars?

Hint: It's a famous property of the Poisson process because of which it is sometimes referred to as the "most random" point process of all.
 
  • #3


The conditional pmf of the number of cars that arrived in [0,1] would be calculated as follows:

P(X=x|Y=5) = (e^(-5)*(5^x))/x!

Where X represents the number of cars that arrived in the first minute and Y represents the total number of cars that arrived in the entire three minute period.

In this case, since Y=5, the conditional pmf would be:

P(X=x|Y=5) = (e^(-5)*(5^x))/x!

= (e^(-5)*(5^x))/x!

= (e^(-5)*(5^x))/x!

= (e^(-5)*(5^1))/1!

= (e^(-5)*5)/1

= 0.0337

Therefore, the conditional pmf of the number of cars that arrived in [0,1] during the first minute of the period is 0.0337 or approximately 3.37%. This means that there is a 3.37% chance that exactly one car arrived during the first minute given that five cars arrived in the entire three minute period.
 

FAQ: How Is the Conditional PMF Calculated for Car Arrivals at a Toll Station?

What is Probability/Poisson Problem?

Probability/Poisson Problem is a branch of mathematics that deals with the study of random events and their likelihood of occurrence. It involves calculating the chances or likelihood of a particular event happening, based on the available information.

What is the difference between probability and Poisson distribution?

Probability refers to the overall likelihood of an event occurring, while Poisson distribution is a specific type of probability distribution that is used to model the number of times an event occurs in a given time period.

How is probability used in real life?

Probability is used in various fields, such as finance, insurance, gambling, and sports, to make predictions and informed decisions. It is also used in scientific research, weather forecasting, and risk assessment.

What is the formula for calculating probability?

The formula for calculating probability is: P(A) = (Number of favorable outcomes)/(Total number of possible outcomes). This formula is used to find the probability of a specific event occurring.

What is the Poisson distribution formula?

The Poisson distribution formula is: P(x; μ) = (e^-μ) (μ^x) / x!, where x is the number of occurrences, e is the base of the natural logarithm, and μ is the mean number of occurrences.

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