If two points are equidistant from a third point (their origin/precursor/ source) then, whatever variance and hence standard deviation exists for the two points for a given trait, is also a reasonably good estimate of variance/standard deviation at the third (their origin/precursor/source) thus, by looking at the site, we get the parameters of the source.
Variance and standard deviation can be estimated from the theory of least square. This theory is of great utility, when the source is at a considerable distant and is beyond reach.
It can also be used in the laboratory, to find out the internal composition of a specimen, by just looking at the characteristic on the surface using this formula
Audience Take Away:
- Characteristics of sun, other stars, galaxies etc. by analyzing radioastronomical, and computer assisted spectrophotometric and other data.
- Geology: it can help in mining and petroleum explorations by finding exact locations where petroleum and other minerals are present.
- It can be used as finding mood of volcanoes and earthquakes (early warning systems.