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dlinn [17]
3 years ago
14

A parking lot has two entrances. Cars arrive at entrance I according to a Poisson distribution at an average of 3 per hour and a

t entrance II according to a Poisson distribution at an average of 2 per hour. What is the probability that a total of 3 cars will arrive at the parking lot in a given hour? What is the probability that less than 3 cars will arrive at the parking lot in a given hour? (Assume that the numbers of cars arriving at the two entrances are independent. (Note: The probability mass function of Poisson distribution is p(x) = (e^-λ * λ^x)/(x!) for x = 0,1,2, ..., , where λ is the parameter which indicates the average number of events in the given time interval.)
Mathematics
2 answers:
alina1380 [7]3 years ago
7 0

Answer:

Step-by-step explanation:

Given that a parking lot has two entrances. Cars arrive at entrance I according to a Poisson distribution at an average of 3 per hour and at entrance II according to a Poisson distribution at an average of 2 per hour.

Assuming the number of cars arriving at the two parking lots are independent we have total number of cars arriving X is Poisson with parameter 3+2 = 5

X is Poisson with mean = 5

the probability that a total of 3 cars will arrive at the parking lot in a given hour

= P(X=3) = 0.1404

b)  the probability that less than 3 cars will arrive at the parking lot in a given hour

= P(X<3)

= P(0)+P(1)+P(2)

= 0.1247

lys-0071 [83]3 years ago
6 0

Answer:

(a) the probability that a total of 3 cars will arrive at the parking lot in a given hour is 0.1404.

(b) The probability that less than 3 cars will arrive at the parking lot in a given hour is 0.1247.

Step-by-step explanation:

Let <em>X</em> = cars arriving through entrance I and <em>Y</em> = cars arriving through entrance II.

<u>Given:</u>

X\sim Poisson(3)\\Y\sim Poisson (2)

The probability function of a Poisson distribution is:

P(U=u)=\frac{\lambda^{u}e^{-\lambda}}{u!}

It is also provided that the events <em>X</em> and <em>Y</em> are independent.

Let <em>U </em>= <em>X</em> + <em>Y</em>

Then E (U) = E (X) + E(Y) = 3 + 2 = 5.

The random variable <em>U</em><em> </em>also follows a Poisson distribution with parameter <em>λ</em> = 5

(a)

The probability that a total of 3 cars will arrive at the parking lot in a given hour is:

P(U=3)=\frac{5^{3}e^{-5}}{3!}\\=\frac{125\times0.00674}{6} \\=0.1404

Thus, the probability that a total of 3 cars will arrive at the parking lot in a given hour is 0.1404.

(b)

The probability that less than 3 cars will arrive at the parking lot in a given hour is:

P(U

Thus, the probability that less than 3 cars will arrive at the parking lot in a given hour is 0.1247.

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