INSTRUCTION: Perform an appropriate statistical test using the dataset (Sheet name: Raw Data) if a researcher would like to determine if there is a significant difference in the "Serum Creatinine (SCr)" between ages "Under 60" and "60 and Above"? Dataset for this can be retrieved on the given Excel. 1. What is the computed p-value for the given data on the Serum Creatinine (SCr) between "Under 60" and "60 and Above"? Round it off to two decimal places. Then, answer (YES or NO) if there is a significant difference in the Serum Creatinine (SCr) between "Under 60" and "60 and Above"?2. What is the computed Mean of "Under 60" on the given data for Serum Creatinine (SCr)? Round it off to two decimal places.3. What is the computed Standard Error of "60 and Above" on the given data for Serum Creatinine (SCr)? Round it off to two decimal places. 891011121314151617181920212223242526272829303132333435363738394041A78910111213141516171819202122232425262728293031323334353637383940Raw DataB46596865667447636379736565767976455834777050385861754561504455497164112222122222222111221112212111122DMaleMaleFemaleMaleFemaleMaleFemaleMaleFemaleMaleMaleMaleMaleMaleMaleMaleFemaleFemaleMaleMaleMaleMaleMaleFemaleMaleMaleMaleMaleFemaleFemaleFemaleMaleMaleMaleE1121212121111111221111121111222111Cholesterol BMI Autism Fruits DepressionF1.3071.7051.5342.0000.9001.2271.3861.1000.9002.2391.3001.6141.2001.4551.4891.7000.9001.3521.8861.3071.2001.0340.9000.9091.2731.3001.3981.6591.0001.1481.1701.3071.2610.900ExcretionG140152144120150116120105122150144170170140116130115130116140110140134100128138130128130124130140100130Hi criarcKL 12345678910111213141516171819202122232425262728293031323334APatient123456789101112131415161718192021222324252627282930313222Raw DataBAge557850603170465968656674476363797365657679764558347770503858617545Age GroupsCodes121212112222122222222211122111221DSexMaleMaleMaleMaleMaleMaleMaleMaleFemaleMaleFemaleMaleFemaleMaleFemaleMaleMaleMaleMaleMaleMaleMaleFemaleFemaleMaleMaleMaleMaleMaleFemaleMaleMaleMaleSexE111111112121212111111122111112111CodesCholesterol BMI Autism Fruits DepressionFSerumCreatinine(SCR)1.6002.6821.3001.0911.1591.2501.3071.7051.5342.0000.9001.2271.3861.1000.9002.2391.3001.6141.2001.4551.4891.7000.9001.3521.8861.3071.2001.0340.9000.9091.2731.3001.398ExcretionGSystolic BloodPressure (SBP)150104140140120150140152144120150116120105122150144170170140116130115130 16 10 101013410 18 18130HCODING: Age GroupsCodes ()Under 60160 & above2SexCodesMaleFemale12KL

Answered: Image /qna-images/answer/edee1644-4ab7-4f44-bdb7-c0bb0fe5f7ac.jpg

Answered: Perform an appropriate statistical test…

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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Question

INSTRUCTION: Perform an appropriate statistical test using the dataset (Sheet name: Raw Data) if a researcher would like to determine if there is a significant difference in the "Serum Creatinine (SCr)" between ages "Under 60" and "60 and Above"? Dataset for this can be retrieved on the given Excel.

1. What is the computed p-value for the given data on the Serum Creatinine (SCr) between "Under 60" and "60 and Above"? Round it off to two decimal places. Then, answer (YES or NO) if there is a significant difference in the Serum Creatinine (SCr) between "Under 60" and "60 and Above"?

2. What is the computed Mean of "Under 60" on the given data for Serum Creatinine (SCr)? Round it off to two decimal places.

3. What is the computed Standard Error of "60 and Above" on the given data for Serum Creatinine (SCr)? Round it off to two decimal places.

8
9
10
11
12
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16
17
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21
22
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25
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41
A
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
Raw Data
B
46
59
68
65
66
74
47
63
63
79
73
65
65
76
79
76
45
58
34
77
70
50
38
58
61
75
45
61
50
44
55
49
71
64
1
1
2
2
2
2
1
2
2
2
2
2
2
2
2
1
1
1
2
2
1
1
1
2
2
1
2
1
1
1
1
2
2
D
Male
Male
Female
Male
Female
Male
Female
Male
Female
Male
Male
Male
Male
Male
Male
Male
Female
Female
Male
Male
Male
Male
Male
Female
Male
Male
Male
Male
Female
Female
Female
Male
Male
Male
E
1
1
2
1
2
1
2
1
2
1
1
1
1
1
1
1
2
2
1
1
1
1
1
2
1
1
1
1
2
2
2
1
1
1
Cholesterol BMI Autism Fruits Depression
F
1.307
1.705
1.534
2.000
0.900
1.227
1.386
1.100
0.900
2.239
1.300
1.614
1.200
1.455
1.489
1.700
0.900
1.352
1.886
1.307
1.200
1.034
0.900
0.909
1.273
1.300
1.398
1.659
1.000
1.148
1.170
1.307
1.261
0.900
Excretion
G
140
152
144
120
150
116
120
105
122
150
144
170
170
140
116
130
115
130
116
140
110
140
134
100
128
138
130
128
130
124
130
140
100
130
H
i criarc
K
L

1
2
3
4
5
6
7
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9
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13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
A
Patient
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
22
Raw Data
B
Age
55
78
50
60
31
70
46
59
68
65
66
74
47
63
63
79
73
65
65
76
79
76
45
58
34
77
70
50
38
58
61
75
45
Age Groups
Codes
1
2
1
2
1
2
1
1
2
2
2
2
1
2
2
2
2
2
2
2
2
2
1
1
1
2
2
1
1
1
2
2
1
D
Sex
Male
Male
Male
Male
Male
Male
Male
Male
Female
Male
Female
Male
Female
Male
Female
Male
Male
Male
Male
Male
Male
Male
Female
Female
Male
Male
Male
Male
Male
Female
Male
Male
Male
Sex
E
1
1
1
1
1
1
1
1
2
1
2
1
2
1
2
1
1
1
1
1
1
1
2
2
1
1
1
1
1
2
1
1
1
Codes
Cholesterol BMI Autism Fruits Depression
F
Serum
Creatinine
(SCR)
1.600
2.682
1.300
1.091
1.159
1.250
1.307
1.705
1.534
2.000
0.900
1.227
1.386
1.100
0.900
2.239
1.300
1.614
1.200
1.455
1.489
1.700
0.900
1.352
1.886
1.307
1.200
1.034
0.900
0.909
1.273
1.300
1.398
Excretion
G
Systolic Blood
Pressure (SBP)
150
104
140
140
120
150
140
152
144
120
150
116
120
105
122
150
144
170
170
140
116
130
115
130 16 10 101013410 18 18
130
H
CODING: Age GroupsCodes ()
Under 601
60 & above2
Sex
Codes
Male
Female
1
2
K
L

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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