The number of accidents in a certain city is modeled by a Poisson random variable with an average rate of 3 accidents per day. Suppose that the number of accidents on different days are independent. Use the central limit theorem to find the probability that there will be more than 100 accidents in a certain month. Assume that there are 30 days in a month.
The number of accidents in a certain city is modeled by a Poisson random variable with an average rate of 3 accidents per day. Suppose that the number of accidents on different days are independent. Use the central limit theorem to find the probability that there will be more than 100 accidents in a certain month. Assume that there are 30 days in a month.
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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
Transcribed Image Text:The number of accidents in a certain city is modeled by a Poisson random variable with an average rate of
3 accidents per day. Suppose that the number of accidents on different days are independent. Use the
central limit theorem to find the probability that there will be more than 100 accidents in a certain month.
Assume that there are 30
days in a month.
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