Related Experiment Video
Updated: Jul 20, 2026

Asymmetric Walkway: A Novel Behavioral Assay for Studying Asymmetric Locomotion
Published on: January 15, 2016
Anthropometric variation among the Sioux and the Assiniboine
1Department of Anthropology, University of Tennessee, Knoxville 37996-0720, USA.
Abstract:
Historically, the Assiniboine are thought to have split from the Yanktonai Sioux some time in the early 17th century, but this view has been challenged by some linguists, archeologists, and skeletal biologists. Our purpose here is to examine the population structure of the Sioux and the Assiniboine, as reflected in 6 head and 6 body anthropometric dimensions, and to investigate the hypothesis that the Assiniboine diverged relatively recently from the Yanktonai Sioux. For both males and females there is an overall significant division effect, and the FST value indicates a fair amount of differentiation among these closely related groups. The Assiniboine are clearly distinct from all 3 Sioux divisions. The Assiniboine also exhibit a higher within-group phenotypic variance than expected, indicating that their differentiation is due to time and gene flow from outside groups. Among the Sioux divisions the Santee and Yankton-Yanktonai are the most similar, especially in head and face dimensions. The results of this study do not support the historical account of Assiniboine origins. The high degree of differentiation between the Yanktonai and Assiniboine suggests a much more distant split between the Assiniboine and the Sioux than has been traditionally put forth.
More Related Videos
09:09Protocol for Assessing the Relative Effects of Environment and Genetics on Antler and Body Growth for a Long-lived Cervid
Published on: August 8, 2017
08:03Midface Hypoplasia and Cranial Base Morphology in Syndromic Craniosynostosis: A Comparative Analysis Study Using a Predictive Regression Model
Published on: November 4, 2025
Related Concept Videos
Polygenic Traits
Conservation of Small Populations
Variation: Normal Distribution, Range, and Standard Deviation
One-Way ANOVA: Equal Sample Sizes
Different sample means can result in different values for the variance estimate: variance between samples. This is because the variance between samples is calculated as the product of the sample size and the variance between the...
One-Way ANOVA: Unequal Sample Sizes
Testing a Claim about Mean: Unknown Population SD
Estimating a population mean requires the samples to be approximately normally distributed. The data should be collected from the randomly selected samples having no sampling bias. There is no specific requirement for sample size. But if the sample size is less than 30, and we don't know the population standard deviation, a different approach is used; instead...