The average number of cars arriving at a particular red light each day is 4. Assuming a Poisson distribution, calculate the probability that on a given day, less than 3 cars will arrive at the red light.
By condition, λ=4\lambda = 4λ=4 .
Let X represent the number of such cars.
Then
P(X=0)=λ00!e−λ=e−4P(X = 0) = \frac{{{\lambda ^0}}}{{0!}}{e^{ - \lambda }} = {e^{ - 4}}P(X=0)=0!λ0e−λ=e−4
P(X=1)=λ11!e−λ=4e−4P(X = 1) = \frac{{{\lambda ^1}}}{{1!}}{e^{ - \lambda }} = 4{e^{ - 4}}P(X=1)=1!λ1e−λ=4e−4
P(X=2)=λ22!e−λ=8e−4P(X = 2) = \frac{{{\lambda ^2}}}{{2!}}{e^{ - \lambda }} = 8{e^{ - 4}}P(X=2)=2!λ2e−λ=8e−4
Then the wanted probability is
P(X<3)=P(X=0)+P(X=1)+P(X=2)=13e−4≈0.238P(X < 3) = P(X = 0) + P(X = 1) + P(X = 2) = 13{e^{ - 4}} \approx 0.238P(X<3)=P(X=0)+P(X=1)+P(X=2)=13e−4≈0.238
Answer: P(X<3)≈0.238P(X < 3) \approx 0.238P(X<3)≈0.238
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