Problem 1 (A-B): Compute the Number (Frequency) and Percentage of patients as Overweight belonging to 60-69 years old using the Raw Data of 40 patients. A. Answer for Number (Frequency) of Patients as Overweight belonging to 60-69 years old. B. Answer for Percentage (%) of Patients as Overweight belonging to 60-69 years old. Problem 2 (A-B): Compute the Number (Frequency) and Percentage of patients as Obese belonging to 70-79 years old using the Raw Data of 40 patients. A. Answer for Number (Frequency) of Patients as Obese belonging to 70-79 years old. B. Answer for Percentage (%) of Patients as Obese belonging to 70-79 years old.
Problem 1 (A-B): Compute the Number (Frequency) and Percentage of patients as Overweight belonging to 60-69 years old using the Raw Data of 40 patients. A. Answer for Number (Frequency) of Patients as Overweight belonging to 60-69 years old. B. Answer for Percentage (%) of Patients as Overweight belonging to 60-69 years old. Problem 2 (A-B): Compute the Number (Frequency) and Percentage of patients as Obese belonging to 70-79 years old using the Raw Data of 40 patients. A. Answer for Number (Frequency) of Patients as Obese belonging to 70-79 years old. B. Answer for Percentage (%) of Patients as Obese belonging to 70-79 years old.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
INSTRUCTION: Compute the following given problem (direct answer and no need for explanation).
NOTE: Round off your answer to two decimal places.
Problem 1 (A-B): Compute the Number (Frequency) and Percentage of patients as Overweight belonging to 60-69 years old using the Raw Data of 40 patients.
A. Answer for Number (Frequency) of Patients as Overweight belonging to 60-69 years old.
B. Answer for Percentage (%) of Patients as Overweight belonging to 60-69 years old.
Problem 2 (A-B): Compute the Number (Frequency) and Percentage of patients as Obese belonging to 70-79 years old using the Raw Data of 40 patients.
A. Answer for Number (Frequency) of Patients as Obese belonging to 70-79 years old.
B. Answer for Percentage (%) of Patients as Obese belonging to 70-79 years old.
Transcribed Image Text:←
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X Raw Data.xlsx
A
Patient
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B
Age
55
78
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60
31
70 46
59
68
65
66
74
47
63
63
79
73
65
65
76
79
76
45
58
34
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70
50
38
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61
75
45
61
50
с
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
Male
Female
D
Body Mass
Index
19.435
22.503
27.406
29.867
27.025
19.040
28.662
27.406
27.532
28.058
28.762
29.024
30.506
28.399
28.731
18.957
26.545
23.739
29.340
39.837
26.156
30.586
43.269
28.192
20.426
26.545
19.044
25.712
30.853
27.369
32.079
37.590
22.850
27.718
24.176
E
Serum
Creatinine
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
1.659
1.000
F
Systolic Blood
Pressure
150
104
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140
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150
140
152
144
120
150
116
120
105
122
150
144
170
170
140
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110
140
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100
128
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128
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H
CODING: Age Groups Codes (A)
Under 40
1
40-49
50-59
60-69
70-79
Under 601
60 & above2
Sex
Codes
Male
Female
2
3
4
5
Age GroupsCodes (B)
Underweight (<18.5)1
Normal (18.5-24.9)2
Overweight (25.0-29.9)3
Obese (230.0)4
Open with
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2
Use the table below in coding for BMI:
BMICodes
K
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B
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70
46
59
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49
71
64
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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
Male
Female
Female
Female
Male
Male
Male
D
27.025
19.040
28.662
27.406
27.532
28.058
28.762
29.024
30.506
28.399
28.731
18.957
26.545
23.739
29.340
39.837
26.156
30.586
43.269
28.192
20.426
26.545
19.044
25.712
30.853
27.369
32.079
37.590
22.850
27.718
24.176
26.370
21.790
15.204
22.229
21.228
E
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
1.659
1.000
1.148
1.170
1.307
1.261
0.900
F120_10_10_12_4283816120131213818101016 13015
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100
128
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124
130
140
100
130
H
Under 601
Sex
60-69
70-79
60 & above2
Codes
Male
Female
Age GroupsCodes (B)
Underweight (<18.5)1
Normal (18.5-24.9)2
4
5
Overweight (25.0-29.9)3
Use the table below in coding for BMI:
BMICodes
Obese (230.0)4
Open with
1
2
J
K
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