Arrivals at a walk-in optometry department in a shopping centre have been found to be Poisson...
Arrivals at a walk-in optometry department in a shopping centre have been found to be Poisson distributed with a mean of 2.71 potential customers arriving per hour. Assuming that the Poisson distribution is reasonable for this situation, where X is the number of arrivals during a given hour. Calculate the probability of at least 19 customers between 2pm and 6pm? Give the answer to the two decimal places.
Homework Answers
Let y denote the number of walk-in in the centre per 4 hours.
Then 
Using Normal approximation to Poission, we have,
Required probability = 
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Arrivals at a walk-in optometry department in a shopping centre
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Sum
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Mean
Source
Freedom
Squares
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F
Regression
2
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Error
18
120
Total
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Multiple Server Waiting Line Model Regional Airlines Assumptions Poisson Arrivals Exponential Service Times Number of Servers Arrival Rate Service Rate For Each Server Operating Characteristics 4 Probability that no customer are in the system, Po 5 Average number of customer in the waiting line, L 6 Average number of customer in the system, L 7 Average time a customer spends in the waiting line, W 18 Average time a customer spends in the system, W 19 Probability an arriving customer...
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The following ANOVA model is for a multiple regression model
with two independent variables:
Degrees
of
Sum
of
Mean
Source
Freedom
Squares
Squares
F
Regression
2
60
Error
18
120
Total
20
180
Determine the Regression Mean Square (MSR):
Determine the Mean Square Error (MSE):
Compute the overall Fstat test statistic.
Is the Fstat significant at the 0.05 level?
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income. The Regression Sum of Squares (SSR) was 360 and...
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