Question 3
. A city planner is considering adding a pedestrian crossing signal to a particular intersection.
They know that on average 11.5 cars go through the intersection each minute. It takes an average
person 10 seconds to walk across the intersection.
a) Name the distribution appropriate to model the number of cars that go through the intersection each
minute. Use the proper notation, and include the value of the distribution parameter(s).
b) What is the probability that a person waiting at this intersection sees no more than 2 cars in a given
minute?
c) Name the distribution appropriate to model the time to the next car crossing this intersection. Use
the proper notation, and include the value of the distribution parameter (s).
d) What is the expected value of the time to the next car crossing this intersection?
e) What is the probability that the time to the next car crossing this intersection is longer than the
average time it takes a person to traverse the intersection (that is, that the time to the next car is longer
than 10 seconds)?
f) Given your probability calculations, do you think the argument is stronger in favor or against the
construction of a pedestrian signal at this intersection? Explain your reasoning
a) The number of cars that go through the intersection each
minute
has Poisson distribution with parameter
The PMF of is
b) The probability that a person waiting at this intersection sees no more than 2 cars in a given minute is
c) The inter-arrival times of the cars are
exponentially distributed with rate parameter
.
The PDF is
d) The expected value of is
e) The probability,
Question 3 . A city planner is considering adding a pedestrian crossing signal to a particular in...
Problem #3: Suppose that the waiting time X (in seconds) for the pedestrian signal at a particular street crossing is a random variable with the following pdf. (1 - x/76)8 0 < x < 76 otherwise If you use this crossing every day for the next 6 days, what is the probability that you will wait for at least 10 seconds on exactly 3 of those days?
Problem #3: Suppose that the waiting time X (in seconds) for the pedestrian signal at a particular street crossing is a random variable with the following pdf. S (1 – x/76)8 0 < x < 76 otherwise If you use this crossing every day for the next 6 days, what is the probability that you will wait for at least 10 seconds on exactly 2 of those days? Problem #3: Round your answer to 4 decimals.
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