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The pharmacist at Arnold Palmer Hospital, Wende Huehn - Brown, receives 1 5 requests for prescriptions each hour, Poisson distributed. It takes her a mean

The pharmacist at Arnold Palmer Hospital, Wende Huehn-Brown, receives 15 requests for prescriptions each hour, Poisson distributed. It takes her a mean time of 3 minutes to fill each, following a negative exponential distribution. The waiting line table is provided below and also we know that Wq=Lq\lambda .
Table: Average Number of Customer in Waiting Line
Poisson Arrivals, Exponential Service Times
Number of Service Channels, M
\rho
1
2
3
4
5
.10
.0111
.15
.0264
.0008
.20
.0500
.0020
.25
.0833
.0039
.30
.1285
.0069
.35
.1884
.0110
.40
.2666
.0166
.45
.3681
.0239
.0019
.50
.5000
.0333
.0030
.55
.6722
.0449
.0043
.60
.9000
.0593
.0061
.65
1.2071
.0767
.0084
.70
1.6333
.0976
.0112
.75
2.2500
.1227
.0147
.80
3.2000
.1523
.0189
.85
4.8166
.1873
.0239
.0031
.90
8.1000
.2285
.0300
.0041
.95
18.0500
.2767
.0371
.0053
1.0
.3333
.0454
.0067
1.2
.6748
.0904
.0158
1.4
1.3449
.1778
.0324
.0059
1.6
2.8444
.3128
.0604
.0121
1.8
7.6734
.5320
.1051
.0227
2.0
.8888
.1739
.0398
a) Using the table, the average number of prescriptions in the queue=
enter your response here
prescriptions (round your response to two decimal places).The pharmacist at Arnold Palmer Hospital, Wende Huehn-Brown, receives 15 requests for prescriptions each hour, Poisson distributed. It takes her a mean time of 3 minutes to fill each, following a negative exponential distribution. The waiting line table is provided below and also we know that Wq=Lq\lambda .
Table: Average Number of Customer in Waiting Line
Poisson Arrivals, Exponential Service Times
Number of Service Channels, M
\rho
1
2
3
4
5
.10
.0111
.15
.0264
.0008
.20
.0500
.0020
.25
.0833
.0039
.30
.1285
.0069
.35
.1884
.0110
.40
.2666
.0166
.45
.3681
.0239
.0019
.50
.5000
.0333
.0030
.55
.6722
.0449
.0043
.60
.9000
.0593
.0061
.65
1.2071
.0767
.0084
.70
1.6333
.0976
.0112
.75
2.2500
.1227
.0147
.80
3.2000
.1523
.0189
.85
4.8166
.1873
.0239
.0031
.90
8.1000
.2285
.0300
.0041
.95
18.0500
.2767
.0371
.0053
1.0
.3333
.0454
.0067
1.2
.6748
.0904
.0158
1.4
1.3449
.1778
.0324
.0059
1.6
2.8444
.3128
.0604
.0121
1.8
7.6734
.5320
.1051
.0227
2.0
.8888
.1739
.0398
b) Using the given relationship, the average time a prescription spends in the queue=
enter your response here minutes (round your response to two decimal places).

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