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, "\\lambda = 4" .
Let X represent the number of such cars.
Then
"P(X = 0) = \\frac{{{\\lambda ^0}}}{{0!}}{e^{ - \\lambda }} = {e^{ - 4}}"
"P(X = 1) = \\frac{{{\\lambda ^1}}}{{1!}}{e^{ - \\lambda }} = 4{e^{ - 4}}"
"P(X = 2) = \\frac{{{\\lambda ^2}}}{{2!}}{e^{ - \\lambda }} = 8{e^{ - 4}}"
Then the wanted probability is
"P(X < 3) = P(X = 0) + P(X = 1) + P(X = 2) = 13{e^{ - 4}} \\approx 0.238"
Answer: "P(X < 3) \\approx 0.238"
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