(6.15)- Refer to the data in Table 2.13. Regard this hospital as typical of Pennsylvania hospitals.A-What is the best point estimate of the percentage of males among patients discharged from Pennsylvania hospitals?B-What is the standard error of the estimate obtained in Problem A?C-Provide a 95% CI for the percentage of males among patients discharged from Pennsylvania hospitals TABLE 2.13 Hospital-stay dataFirstReceivedDurationofReceivedantibiotic?1 = yesbacterialculture?FirstWBC(х 10)followingadmissionSexService1 = M2 = Ftemp.followingadmission1 = med.2 = surg.IDhospitalstay1 = yes2 = noAge2 = nono.130299.0211073298.011340299.0122241147298.2422225298.5112261482196.8612273060199.5811181156298.672211743298.072110350198.012121159297.67111234197.832213822299.51112148.33298.4141215520298.4112121632199.092217736199.212218469198.02219347197.012120722198.2622219.11198.21022221119198.61422231167297.642212443298.62225441298.0221

Name: (6.15)- Refer to the data in Table 2.13. Regard this hospital as typic
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Description: (6.15)- Refer to the data in Table 2.13. Regard this hospital as typical of Pennsylvania hospitals.A-What is the best point estimate of the percentage of males among patients discharged from Pennsylvania hospitals?B-What is the standard error of the

Given: The frequency of men and women The frequency pf male x=11 Total number of patient n=25

Answered: Refer to the data in Table 2.13. Regard…

MATLAB: An Introduction with Applications

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Author:Amos Gilat

Publisher:Amos Gilat

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(6.15)- Refer to the data in Table 2.13. Regard this hospital as typical of Pennsylvania hospitals.

A-What is the best point estimate of the percentage of males among patients discharged from Pennsylvania hospitals?
B-What is the standard error of the estimate obtained in Problem A?
C-Provide a 95% CI for the percentage of males among patients discharged from Pennsylvania hospitals

TABLE 2.13 Hospital-stay data
First
Received
Duration
of
Received
antibiotic?
1 = yes
bacterial
culture?
First
WBC
(х 10)
following
admission
Sex
Service
1 = M
2 = F
temp.
following
admission
1 = med.
2 = surg.
ID
hospital
stay
1 = yes
2 = no
Age
2 = no
no.
1
30
2
99.0
2
1
10
73
2
98.0
1
1
3
40
2
99.0
12
2
2
4
11
47
2
98.2
4
2
2
2
25
2
98.5
11
2
2
6
14
82
1
96.8
6
1
2
2
7
30
60
1
99.5
8
1
1
1
8
11
56
2
98.6
7
2
2
1
17
43
2
98.0
7
2
1
10
3
50
1
98.0
12
1
2
11
59
2
97.6
7
1
1
12
3
4
1
97.8
3
2
2
13
8
22
2
99.5
11
1
2
14
8.
33
2
98.4
14
1
2
15
5
20
2
98.4
11
2
1
2
16
32
1
99.0
9
2
2
17
7
36
1
99.2
1
2
2
18
4
69
1
98.0
2
2
19
3
47
1
97.0
1
2
1
20
7
22
1
98.2
6
2
2
21
9.
11
1
98.2
10
2
2
22
11
19
1
98.6
14
2
2
23
11
67
2
97.6
4
2
2
1
24
43
2
98.6
2
2
25
4
41
2
98.0
2
2
1

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