Refer the data in imagesProblem a)What is the appropriate test procedure to test for significant differences in mean white blood cell count between people who do and people who do not receive a bacterial culture?Problem b) Perform the procedure in Problem a using thecritical-value method.Problem c) What is the p-value corresponding to your answer toProblem b ? Googlelne açTABLE 2.13 Hospital-stay dataFirstReceivedReceivedantibiotic?1 = yes2 = noDurationofFirstWBC(x 10)followingadmissionbacterialculture?1 = yes2- noService1= med.2 = surg.Sextemp.IDfollowinghospitalstay1 = M2 = FAgeadmissionno.153099.0211073298.02113640299.01222241147298.24222525298.511226.148296.86.1227306099.58111156298.67219174398.072110350198.0121211959297.672111234197.8322213822299.5112214833298.41411215520298.4112121653299.0221773699.2612218469198.0622219347197.0512120722198.26221911198.2102222111998.614122231167297.64224943298.6222544198.021

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Description: Refer the data in imagesProblem a)What is the appropriate test procedure to test for significant differences in mean white blood cell count between people who do and people who do not receive a bacterial culture?Problem b) Perform the procedure in Pr

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MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Refer the data in images

Problem a)What is the appropriate test procedure to test for significant differences in mean white blood cell count between people who do and people who do not receive a bacterial culture?
Problem b) Perform the procedure in Problem a using the
critical-value method.
Problem c) What is the p-value corresponding to your answer to
Problem b ?

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

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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