Question

The time of arrival at a toll booth on a certain road comes from a Poisson...

The time of arrival at a toll booth on a certain road comes from a Poisson process with an average of 9 vehicles per minute. Now, X is the time that is measured until the arrival of the 5th vehicle. a) What is the probability that X is at least half a minute? b) What is the average time of X?
Ans. a) 0.532104, b) 5/9

Homework Answers

Answer #1

a)

We know that the inter-arrival time of Poisson process follows exponential distribution. Let T1, T2,.., T5 be the inter-arrival time of 1st , 2nd,..., 5th vehicle. Then Ti ~ Exp( = 1/9) for   = 1,2,3,4,5

X = T1 + T2 + T3 + T4 + T5

We know that the 'n' sum of exponential distribution follows Gamma distribution with parameters n and

X ~ Gamma(k = 5, = 1/9)

Probability that X is at least half a minute = P(X 0.5)

(CDF of Gamma distribution)

= 0.011109 * (1 + 4.5 + 4.52 / 2 + 4.53 / 6 + 4.54 / 24 )

= 0.532104

b)

Average time of X = E[X] = k = 5 * (1/9) = 5/9

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Cars arrive at a toll booth according to a Poisson process with mean 60 cars per...
Cars arrive at a toll booth according to a Poisson process with mean 60 cars per hour. If the attendant makes a three minute phone call, what is the probability that the number of cars passing through the toll booth during the call is between 2 and 4, inclusive?
At 8:00 A.M. there are no vehicles in queue at a toll booth and vehicles start...
At 8:00 A.M. there are no vehicles in queue at a toll booth and vehicles start arriving at a rate of ?(?) = ?. ? − ?. ?? ?. From 8:00 to 8:05 A.M. no vehicles are serviced, ?(?) = ? for ? ≤ ? < ?, and beginning at 8:05 A.M. vehicles are serviced at a rate ?(?) = ?. ? ? − ? for ? ≥ ? min (?(?) and ?(?) are in vehicles/minute and ? is in...
Consider a customer arrival process that is a Poisson process. To find the probabilities described below,...
Consider a customer arrival process that is a Poisson process. To find the probabilities described below, which of the following random variable selections (as Poisson, Exponential or k-Erlang) is correct? to find the probability that the time between the 2nd and 3rd customer arrivals is 5 minutes, use a k-Erlang random variable with k>1 to find the probability that 10 customers arrive during a 30-minute period, use a k-Erlang random variable to find the probability that the total time elapsed...
Select an arrival (Poisson) process on any time interval (eg.: second, minute, hour, day, week, month,...
Select an arrival (Poisson) process on any time interval (eg.: second, minute, hour, day, week, month, etc….) as you like. Possible arrival processes could be arrival of signal, click, broadcast, defective product, customer, passenger, patient, rain, storm, earthquake etc.[Hint: Poisson and exponential distributions exits at the same time.] Collect approximately n=30 observations per unit time interval. .[Hint: Plot your observations. If there is sharp increase or decrease then you could assume that you are observing arrivals according to proper Poisson...
Suppose that phone calls arrive at a switchboard according to a Poisson Process at a rate...
Suppose that phone calls arrive at a switchboard according to a Poisson Process at a rate of 2 calls per minute. (d)What is the probability that the next call comes in 30 seconds and the second call comes at least 45 seconds after that? (e) Let T4 be the time between 1st and 5th calls. What is the distribution of T4? (f) What is the probability that the time between 1st and 5th call is longer than 5 minutes? Please...
Q1.    Select an arrival (Poisson) process on any time interval (eg.: second, minute, hour, day, week,...
Q1.    Select an arrival (Poisson) process on any time interval (eg.: second, minute, hour, day, week, month, etc….) as you like. Possible arrival processes could be arrival of signal, click, broadcast, defective product, customer, passenger, patient, rain, storm, earthquake etc.[Hint: Poisson and exponential distributions exits at the same time.] Collect approximately n=30 observations per unit time interval. .[Hint: Plot your observations. If there is sharp increase or decrease then you could assume that you are observing arrivals according to proper...
QUESTION 1 (Queing Analysis) A movie theater ticket booth has a mean arrival rate of 5...
QUESTION 1 (Queing Analysis) A movie theater ticket booth has a mean arrival rate of 5 persons every minute and the service rate is 6 persons per minute. Assuming that arrivals are Poisson distributed and service times are exponentially distributed, and that steady-state conditions exist, calculate the following characteristics of this queuing system applying the FIFO M/M/1 model: a) Utilization ratio (or traffic intensity) b) The average number of people in the system c) The average length of the queue...
Suppose you’re designing a bridge for vehicle traffic over the Cache la Poudre River. Cars are...
Suppose you’re designing a bridge for vehicle traffic over the Cache la Poudre River. Cars are expected to arrive at the central toll plaza at a rate of 70 per hour. You will have four toll booths, which can each process cars at a rate of 30 cars per hour. Assume cars arrive into the toll plaza according to a Poisson distribution and wait in queue until the next available toll booth opens up. Assume car processing times are exponentially...
Cars cross a certain point on the highway in accordance with a Poisson process with rate...
Cars cross a certain point on the highway in accordance with a Poisson process with rate = 3 per minute. If Al runs across the highway at some random time, what is the probability that he will avoid being hit by a car if the amount of time that it takes him to cross the road is s seconds? (Assume that if a car goes by while Al is on the highway, that it will hit him.)
Vehicles pass Holborn Station during weekdays at randomly at an average rate of 300 per hour....
Vehicles pass Holborn Station during weekdays at randomly at an average rate of 300 per hour. Give two reasons why we should use a Poisson distribution to describe this process. Find the probability that no vehicle passes in one minute. Find the probability of at least three vehicles pass in ten minutes. What is the expected number of vehicles passing in three minutes? In a 5-minute interval, find the probability that the number of cars passing is within one standard...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT