Question

Suppose that customers arrive at a bank at a rate of 10 per hour. Assume that the number of customer arrivals X follows a Poisson distribution.

1. Find the probability of more than 25 people arriving within the next two hours using the Poisson mass function.

2. Find the probability of more than 25 people arriving within the next two hours using the normal approximation to the Poisson.

3. Compute the percent relative difference between the exact probability computed in part 1 and the normal approximation computed in part 2, i.e., 100 × (Approx−Exact) Exact %.

Comment on the adequacy of the approximation in part 2.

Answer #1

Suppose that customers arrive at a bank at a rate of 10 per
hour. Assume that the number of customer arrivals X follows a
Poisson distribution.
Find the probability of more than 25 people arriving within the
next two hours using the Poisson mass function.
Find the probability of more than 25 people arriving within the
next two hours using the normal approximation to the Poisson.
Compute the percent relative difference between the exact
probability computed in part 1 and...

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b) Suppose that it is now 9:15 and the first customer has
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c)...

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a.What is the probability that exactly 7 patients will arrive during the next hour?
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c. How many people do you expect to arrive in the next two hours?
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the average number of patients arriving at the emergency room is
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a-binomial
b-poisson
c-multinomial
d-uniform
e-geometric

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