A civil engineer has been studying the frequency of vehicle accidents on a certain stretch of interstate highway. Longterm history indicates that there has been an average of accidents per day on this section of the interstate. Let r be a random variable that represents number of accidents per day. Let O represent the number of observed accidents based on local highway patrol reports. A random sample of 90 days gave the following information. -2 3 4 or more 22 23 15 17 13 (a) The civil engineer wants to use a Poisson distribution to represent the probability of r, the number of accidents per day. The Poisson distribution is given below. P(r) %3D r! Here A = 1.74 is the average number of accidents per day. Compute P(r) for r = 0, 1, 2, 3, and 4 or more. (Round your answers to three decimal places.) %3D P(0) = P(1) = P(2) = P(3) = DLA Or ore)

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I only need answers to parts (a) (b) (c)

A civil engineer has been studying the frequency of vehicle accidents on a certain stretch of interstate highway. Longterm history indicates that there has been an average of
accidents per day on this section of the interstate. Let r be a random variable that represents number of accidents per day. Let O represent the number of observed accidents
based on local highway patrol reports. A random sample of 90 days gave the following information.
-2
3
4 or more
22
23
15
17
13
(a) The civil engineer wants to use a Poisson distribution to represent the probability of r, the number of accidents per day. The Poisson distribution is given below.
P(r)
%3D
r!
Here A = 1.74 is the average number of accidents per day. Compute P(r) for r = 0, 1, 2, 3, and 4 or more. (Round your answers to three decimal places.)
%3D
P(0) =
P(1) =
P(2) =
P(3) =
DLA Or
ore)
Transcribed Image Text:A civil engineer has been studying the frequency of vehicle accidents on a certain stretch of interstate highway. Longterm history indicates that there has been an average of accidents per day on this section of the interstate. Let r be a random variable that represents number of accidents per day. Let O represent the number of observed accidents based on local highway patrol reports. A random sample of 90 days gave the following information. -2 3 4 or more 22 23 15 17 13 (a) The civil engineer wants to use a Poisson distribution to represent the probability of r, the number of accidents per day. The Poisson distribution is given below. P(r) %3D r! Here A = 1.74 is the average number of accidents per day. Compute P(r) for r = 0, 1, 2, 3, and 4 or more. (Round your answers to three decimal places.) %3D P(0) = P(1) = P(2) = P(3) = DLA Or ore)
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