Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

What are Estimates?01:06

What are Estimates?

5.3K
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...
5.3K
Variation: Normal Distribution, Range, and Standard Deviation02:32

Variation: Normal Distribution, Range, and Standard Deviation

22.4K
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...
22.4K
Estimation of the Physical Quantities01:05

Estimation of the Physical Quantities

4.6K
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...
4.6K
Applications of Normal Distribution01:22

Applications of Normal Distribution

5.5K
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...
5.5K
Estimating Population Standard Deviation01:26

Estimating Population Standard Deviation

3.1K
When the population standard deviation is unknown and the sample size is large, the sample standard deviation s is commonly used as a point estimate of σ. However, it can sometimes under or overestimate the population standard deviation. To overcome this drawback, confidence intervals are determined to estimate population parameters and eliminate any calculation bias accurately. However, this only applies to random samples from normally distributed populations. Knowing the sample mean and...
3.1K
Estimating Population Mean with Known Standard Deviation01:16

Estimating Population Mean with Known Standard Deviation

8.9K
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 +...
8.9K

You might also read

Related Articles

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

Sort by
Same author

Stature estimation using the odontometric measurements of the maxilla.

Journal of advanced pharmaceutical technology & research·2023
Same author

A cross-sectional hospital-based study on how patients perceive the dental care provided by male or female dentists.

Journal of advanced pharmaceutical technology & research·2023
Same author

Dentistry as a prospective career choice in india.

Bioinformation·2021
See all related articles

Related Experiment Video

Updated: Aug 14, 2025

Assessment of Child Anthropometry in a Large Epidemiologic Study
09:36

Assessment of Child Anthropometry in a Large Epidemiologic Study

Published on: February 2, 2017

27.2K

Stature estimation using head circumference.

R Prenetha1, K Yuvaraj Babu1

  • 1Department of Anatomy, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India.

Journal of Advanced Pharmaceutical Technology & Research
|January 16, 2023
PubMed
Summary
This summary is machine-generated.

This study explored estimating stature using head circumference. Researchers found head circumference has a moderate correlation for predicting height in both males and females.

Keywords:
Head circumferencehuman statureinnovative stature estimationlinear regression equation

More Related Videos

Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts
07:56

Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts

Published on: January 29, 2018

17.6K
Author Spotlight: Advancements in 3D Optical Imaging for Comprehensive Body Composition Assessment in Modern Research
06:48

Author Spotlight: Advancements in 3D Optical Imaging for Comprehensive Body Composition Assessment in Modern Research

Published on: June 7, 2024

1.3K

Related Experiment Videos

Last Updated: Aug 14, 2025

Assessment of Child Anthropometry in a Large Epidemiologic Study
09:36

Assessment of Child Anthropometry in a Large Epidemiologic Study

Published on: February 2, 2017

27.2K
Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts
07:56

Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts

Published on: January 29, 2018

17.6K
Author Spotlight: Advancements in 3D Optical Imaging for Comprehensive Body Composition Assessment in Modern Research
06:48

Author Spotlight: Advancements in 3D Optical Imaging for Comprehensive Body Composition Assessment in Modern Research

Published on: June 7, 2024

1.3K

Area of Science:

  • Anthropometry
  • Forensic Science
  • Medical Statistics

Background:

  • Stature is a key anthropometric measurement crucial for individual identification.
  • Forensic science utilizes stature estimation for determining personal characteristics.
  • Previous research has focused on cranial and dental metrics for height prediction.

Purpose of the Study:

  • To estimate stature from head circumference measurements.
  • To develop linear regression formulas correlating head circumference and stature.
  • To assess the reliability of head circumference as a predictor of stature.

Main Methods:

  • Conducted in Saveetha Dental College with 70 first-year students (35 males, 35 females).
  • Stature measured using a stadiometer; head circumference measured with a measuring tape.
  • Data analyzed using SPSS software (version 23) for linear regression analysis.

Main Results:

  • Derived regression formulas: Males: Y = 1.85x + 71.12 (r=0.487); Females: Y = 2.07x + 46.24 (r=0.433).
  • Head circumference demonstrated a moderate correlation with stature in both genders.
  • Correlation coefficients (r) indicate a moderate predictive relationship.

Conclusions:

  • Head circumference is a moderately reliable anthropometric parameter for stature estimation.
  • The derived regression equations can be applied for estimating stature in similar populations.
  • Further research could explore other anthropometric measures for improved height prediction.