Biological Profile for the Stature Estimation of Unknown Skeleton Number 5

There are six unknown skeletons in the Johnson County Community College collection with unknown backgrounds. We were tasked to estimate the stature of skeleton number 5, using full skeleton and linear regression methods. This is possible because of the correlation between bone lengths and stature.. Using the full skeleton method we measured the vertebra, skull, femur, tibia and ankle to estimate the height of our skeleton. Using those measurements we input them into the soft tissue correction equation. Next we estimated the height of our skeleton using the linear regression methods. Which is based on the correlation between height and bone length, using the European female regression formula and measurements from the femur, fibula and humerus lengths.The results estimated the stature range of the femur being 155.385-147.94cm, fibula 154.596-147.456cm and the humerus 158.852-149.952cm. The results from the full skeleton method estimated that our female skeleton was roughly 550.01 inches (4ft 7in). This estimate of height was done in centimeters which were then converted to feet for the height estimate. However the margin of error in this estimation is using rulers for measuring C2-5 due to not being able to reach C2-C5 with the calibres. Every human is proportioned differently, we do not know the age of our skeleton and therefore cannot do an age correction. Along with needing more information on ancestry for our skeleton as we do not currently know where our skeleton is from.

Publication Details

Journal
ScholarSpace - JCCC (Johnson County Community College)
Published
2025-05-01
Primary Topic
Magnetic confinement fusion research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Biological Profile for the Stature Estimation of Unknown Skeleton Number 5

ScholarSpace - JCCC (Johnson County Community College)
Magnetic confinement fusion research
article

Biological Profile for the Stature Estimation of Unknown Skeleton Number 5

article en

Abstract

There are six unknown skeletons in the Johnson County Community College collection with unknown backgrounds. We were tasked to estimate the stature of skeleton number 5, using full skeleton and linear regression methods. This is possible because of the correlation between bone lengths and stature.. Using the full skeleton method we measured the vertebra, skull, femur, tibia and ankle to estimate the height of our skeleton. Using those measurements we input them into the soft tissue correction equation. Next we estimated the height of our skeleton using the linear regression methods. Which is based on the correlation between height and bone length, using the European female regression formula and measurements from the femur, fibula and humerus lengths.The results estimated the stature range of the femur being 155.385-147.94cm, fibula 154.596-147.456cm and the humerus 158.852-149.952cm. The results from the full skeleton method estimated that our female skeleton was roughly 550.01 inches (4ft 7in). This estimate of height was done in centimeters which were then converted to feet for the height estimate. However the margin of error in this estimation is using rulers for measuring C2-5 due to not being able to reach C2-C5 with the calibres. Every human is proportioned differently, we do not know the age of our skeleton and therefore cannot do an age correction. Along with needing more information on ancestry for our skeleton as we do not currently know where our skeleton is from.

ScholarSpace - JCCC (Johnson County Community College)
Openalex Percentile: Top 36%
Magnetic confinement fusion research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.