Civil Engineering Reference
In-Depth Information
TABLE 9.8 Continued
Sample
Size
Stature
(mm)
Sitting
Height (mm)
Knee Height
Sitting (mm)
Weight
(kg)
THAILAND
Females
250
1512 (48)
Females
711
1540 (50)
817 (27)
Males
250
1607 (20)
Males
1478
1654 (59)
872 (32)
(Intaranont, 1991)
(NICE; cited by Intaranont, 1991)
TURKEY
Females
Villagers
47
1567 (52)
792 (38)
486 (27)
69 (14)
City dwellers (Goenen, Kalinkara, and Oezgen, 1991)
53
1563 (55)
786 (05)
471 (05)
66 (13)
Male Soldiers (Kayis and Oezok, 1991)
5108
1702 (60)
888 (34)
513 (280
63 (7)
U.S.A.
Midwest workers with shoes and light clothes
Females
125
1637 (62)
65 (12)
Males (Marras and Kim, 1993)
384
1778 (73)
84 (16)
U.S. male miners (Kuenzi and Kennedy, 1993)
105
1803 (65)
89 (15)
U.S. Army soldiers
2208
1629 (64)
852 (35)
515 (26)
62 (8)
Females
Males (Gordon, Churchill, Clauser et al., 1989)
1774
1756 (67)
914 (36)
559 (28)
76 (11)
North Americans (Canada and U.S.A.)
Females (18-26 yr old)
1255
1640 (73)
69 (18)
Males (18-65 yr old)(Robinette, Blackwell,
Daanen et al., 2002)
1120
1778 (79)
86 (18)
Vietnamese, living in the USA
Females
30
1559 (61)
49
Males (Imrhan, Nguyen and Nguyen, 1993)
41
1646 (60)
59
Note: Last updated 15 January 2004. Contact the author for source references.
With E
¼
d y =
D y (Equation [9.3a]) thus known, one can calculate
d y ¼
E
D y
(9
:
4)
in a stepwise fashion, as follows:
Step 1: If the shoulder height has to be estimated for sample Y, and the value in sample X is known then
calculate using stature values as reference D, known in both samples: E
¼
(shoulder height in sample X)
=
(stature in sample X), see Equation 9
:
Step 2: With E now known, the desired unknown dimension in population sample Y equals E times
the reference parameter in sample Y. In this example, shoulder height in sample Y
:
2
E
(stature in
¼
sample Y), see Equation 9.4.
The technique of ratio scaling usually serves to estimate the mean of a required dimension and its
standard deviation. The common parameter is often stature. Note, however, that while stature generally
correlates well with other heights, it is not necessarily associated with depths, breadths, circumferences,
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