Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Variation: Normal Distribution, Range, and Standard Deviation

Variation: Normal Distribution, Range, and Standard Deviation

In the field of psychology, there are several ways to organize measurements of a trait, feature, or characteristic (i.e., variables). Qualitative data, such as ethnicity, can be tabulated into a frequency count to provide information about the proportion, as well as the variety of groups in a sample or population. On the other hand, researchers can perform a wider set of calculations on quantitative data. The mean, mode, and median, for instance, are central tendency measures to identify a...

Nature and Nurture

Nature and Nurture

Many human characteristics, like height, are shaped by both nature—in other words, by our genes—and by nurture, or our environment. For example, chronic stress during childhood inhibits the production of growth hormones and consequently reduces bone growth and height. Scientists estimate that 70-90% of variation in height is due to genetic differences among individuals, and 10-30% of variation in height is due to differences in the environments that individuals experience, such as differences...

What are Estimates?

What are Estimates?

It isn't easy to measure a parameter such as the mean height or the mean weight of a population. So, we draw samples from the population and calculate the mean height or mean weight of the individuals in the sample. This sample data acts as a representative measure of the population parameter. These sample statistics are known as estimates.
The estimate for the mean of a sample is denoted by ͞x, whereas the mean of the population is designated as μ. Further, parameters such as the mean,...

Applications of Normal Distribution

Applications of Normal Distribution

The normal distribution is a useful statistical tool. One of its practical applications is determining the door height after considering the normal distribution of heights of persons, such that many can pass through it easily without striking their heads. The normal distribution can also determine the probability of a person having a height less than a specific height.
The heights of 15 to 18-year-old males from Chile from 1984 to 1985 followed a normal distribution. The mean height is 172.36...

Estimation of the Physical Quantities

Estimation of the Physical Quantities

On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...

Estimating Population Mean with Known Standard Deviation

Estimating Population Mean with Known Standard Deviation

To construct a confidence interval for a single unknown population mean μ, where the population standard deviation is known, we need sample mean as an estimate for μ and we need the margin of error. Here, the margin of error (EBM) is called the error bound for a population mean (abbreviated EBM). The sample mean is the point estimate of the unknown population mean μ.
The confidence interval estimate will have the form as follows:
(point estimate - error bound, point estimate + error bound)
The...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Evaluation of sexual dimorphism by discriminant function analysis of toe length (1T-5T) of adult Igbo populace in Nigeria.

Nigerian medical journal : journal of the Nigeria Medical Association·2016

Same author

Mastoid triangle for sex determination in adult Nigerian population: a validation study.

Journal of forensic sciences·2013

Same author

Analysis of body mass index, the mandible, and dental alveolar arch factors in prediction of mandibular third molar impaction: a pilot study.

The journal of contemporary dental practice·2011

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 27, 2026

Assessment of Child Anthropometry in a Large Epidemiologic Study

Assessment of Child Anthropometry in a Large Epidemiologic Study

Published on: February 2, 2017

Stature estimation formulae for Nigerians.

Blessing C Didia¹, Ethelbert C Nduka, Okechukwu Adele

¹Department of Anatomy, University of Port Harcourt, P.M.B 5323, Port Harcourt, Nigeria. charitymemorialclinic@yahoo.com

Journal of Forensic Sciences

|November 21, 2008

Summary

This summary is machine-generated.

This study developed new stature estimation formulas for Nigerians using tibia length. These regression models provide reliable methods for estimating height in the Nigerian population.

More Related Videos

Clinical Anthropometrics and Body Composition from 3-Dimensional Optical Imaging

Clinical Anthropometrics and Body Composition from 3-Dimensional Optical Imaging

Published on: June 7, 2024

Midface Hypoplasia and Cranial Base Morphology in Syndromic Craniosynostosis: A Comparative Analysis Study Using a Predictive Regression Model

Midface Hypoplasia and Cranial Base Morphology in Syndromic Craniosynostosis: A Comparative Analysis Study Using a Predictive Regression Model

Published on: November 4, 2025

Related Experiment Videos

Last Updated: Jun 27, 2026

Assessment of Child Anthropometry in a Large Epidemiologic Study

Assessment of Child Anthropometry in a Large Epidemiologic Study

Published on: February 2, 2017

Clinical Anthropometrics and Body Composition from 3-Dimensional Optical Imaging

Clinical Anthropometrics and Body Composition from 3-Dimensional Optical Imaging

Published on: June 7, 2024

Midface Hypoplasia and Cranial Base Morphology in Syndromic Craniosynostosis: A Comparative Analysis Study Using a Predictive Regression Model

Midface Hypoplasia and Cranial Base Morphology in Syndromic Craniosynostosis: A Comparative Analysis Study Using a Predictive Regression Model

Published on: November 4, 2025

Area of Science:

Forensic Anthropology
Anthropometry

Background:

Stature estimation is crucial in forensic science and anthropology.
Existing stature formulas are often population-specific, necessitating localized research.
Various skeletal elements, including long bones and vertebrae, have been used for estimation.

Purpose of the Study:

To develop population-specific stature estimation formulas for adult Nigerians.
To utilize tibia length as a predictor for stature in the studied population.
To compare the derived formulas with existing international standards.

Main Methods:

Measurements of height and tibia length were taken from 200 adult Nigerians (96 males, 104 females).
Tibia length was measured from the upper medial condyle to the tip of the medial malleolus.
Regression models were employed to establish the relationship between tibia length and stature.

Main Results:

General stature estimation formulas were derived for both male and female Nigerian subjects.
The developed formulas demonstrated favorable comparison with existing formulas, such as those by Duyar and Pelin.
The study confirmed the reliability of tibia length for stature estimation in this population.

Conclusions:

The developed tibia-based stature estimation formulas are reliable for use in the Nigerian population.
These formulas contribute to the existing body of knowledge for forensic and anthropological applications.
Localized stature estimation methods enhance accuracy in forensic investigations.