tell whether the curves for the different cohorts are different from one another. If so, what might have caused the differences? In addition, did you notice any difference in the curves for males and females? If so, what might have caused the differences? Speculate about the future if: 1) health care costs continues to increase, and 2) medical advances continue and most diseases and infant mortality are eliminated. How can this method be used to understand or manage natural populations?
tell whether the curves for the different cohorts are different from one another. If so, what might have caused the differences? In addition, did you notice any difference in the curves for males and females? If so, what might have caused the differences? Speculate about the future if: 1) health care costs continues to increase, and 2) medical advances continue and most diseases and infant mortality are eliminated. How can this method be used to understand or manage natural populations?
Essentials Health Info Management Principles/Practices
4th Edition
ISBN:9780357191651
Author:Bowie
Publisher:Bowie
Chapter7: Numbering & Filing Systems And Record Storage & Circulation
Section7.2: Filing Systems
Problem 5E
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Question
tell whether the curves for the different cohorts are different from one another.
If so, what might have caused the differences?
If so, what might have caused the differences?
In addition, did you notice any difference in the curves for males and females? If so, what might have
caused the differences?
Speculate about the future if: 1) health care costs continues to increase, and 2) medical advances continue
and most diseases and infant mortality are eliminated.
How can this method be used to understand or manage natural populations?
Transcribed Image Text:men
Age Class #deaths #surviving
start
0-10
11-20
21-30
31-40
41-50
51-60
61-70
71-80
81-90
91-100
101-110
0
3
0
21-30
31-40
41-50
51-60
61-70
71-80
81-90
91-100
101-110
1
6
2
2
3
3
0
0
0
women
Age Class #deaths #surviving
start
0-10
11-20
0
1
2
3
0
3
2
4
2
1
1
0
20
17
17
16
10
8
6
3
0
0
0
0
20
19
17
14
14
11
9
5
3
2
1
1
Survivorship
Survivorship
100
85
85
80
50
40
30
15
0
0
0
0
100
22RRASS
95
85
70
70
55
45
25
15
10
5
5
%survivorship
120
100
80
60
40
20
0
start
0-10
11-20
Age
start
0-10
11-20
21-30
31-40
41-50
51-60
61-70
71-80
81-90
91-100
101-110
21-30
31-40
Men
41-50
Age
100
85
85
80
50
40
30
15
0
0
0
0
51-60
■Men Women
Women
61-70
100
95
85
70
70
55
45
25
15
10
5
5
71-80
81-90
00T-T6
.
101-110
Transcribed Image Text:people who died before 1950
Age Class #deaths #surviving Survivorship
start
0-10
11-20
21-30
31-40
41-50
51-60
61-70
71-80
81-90
91-100
0
3
2
4
91-100
101-110
1
2
3
2
2
0
1
0
1
1
0
5
3
1
5
3
101-110
0
people who died after 1950
Age Class #deaths #surviving Survivorship
start
0-10
11-20
21-30
31-40
41-50
51-60
61-70
71-80
81-90
1
20
17
15
0
0
11
10
8
5
3
1
1
0
0
20
19
18
18
13
10
9
4
1
0
0
0
100
85
75
55
50
40
25
15
5
5
0
0
100
95
90
90
65
50
45
20
5
0
0
0
% survivorship
120
100
80
60
40
20
0
start 0-10
11-20 21-30 31-40 41-50 51-60 61-70 71-80 81-90 91-100 101-110
Age
people who died before 1950
people who died after 1950
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