This study delves deeper into the meaning of socio-economic frequency distributions, especially in their aggregated form, known as an OGIVE [1]. Because statisticians have been obsessed with "significance" for the previous century, statistical methods in the social sciences have received little attention [2]. The first section of this study, which examines the asymmetric structure of socioeconomic frequency distributions, may surprise statisticians in the medical and bio-science sectors. Traditional measurements designed for symmetric distributions do not apply to socioeconomic data. The Ogive, a cumulative version of the same frequency data, is the subject of the second portion of this research. The Ogive is only mentioned in statistics textbooks as a curiosity, with instructions on how to make one. Yet its significance, interpretation, and contribution to a better understanding of the underlying socioeconomic condition are never emphasised. This research looks at ways to extract aspects of the frequency distribution from an Ogive that would otherwise go unnoticed.
Author
(S) Details
Othmar W. Winkler
Georgetown
University, USA.
View Book:- https://stm.bookpi.org/NVST-V4/article/view/4000
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