{"title":"Interpreting the Cumulative Frequency Distribution of Socio-Economic Data: A Recent Study","authors":"Othmar W. Winkler","doi":"10.9734/bpi/nvst/v4/4236f","DOIUrl":null,"url":null,"abstract":"This study explores the deeper meaning of socio-economic frequency distributions, particularly in their accumulated form, called an OGIVE [1]. Due to the obsession of statisticians during the past century with “significance” little attention had been paid to statistical methods in the social sciences [2]. The first part of this study, reviewing the asymmetric nature of frequency distributions of socio-economic data may surprise statisticians in the medical and bio-science fields. Customary measures developed for their symmetric distri- butions do not apply to socio-economic data. The second part of this study deals with the Ogive, a cumulative form of the same frequency data. Textbooks on statistics mention the Ogive only as a curiosity, describing how to construct one. Yet never mentioned is its meaning, its interpretation, its contribution to a fuller understanding of the underlying socio- economic situation This study explores how to extract from an Ogive features of the frequency distribution that otherwise remain unnoticed.","PeriodicalId":146888,"journal":{"name":"New Visions in Science and Technology Vol. 4","volume":"56 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"New Visions in Science and Technology Vol. 4","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.9734/bpi/nvst/v4/4236f","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This study explores the deeper meaning of socio-economic frequency distributions, particularly in their accumulated form, called an OGIVE [1]. Due to the obsession of statisticians during the past century with “significance” little attention had been paid to statistical methods in the social sciences [2]. The first part of this study, reviewing the asymmetric nature of frequency distributions of socio-economic data may surprise statisticians in the medical and bio-science fields. Customary measures developed for their symmetric distri- butions do not apply to socio-economic data. The second part of this study deals with the Ogive, a cumulative form of the same frequency data. Textbooks on statistics mention the Ogive only as a curiosity, describing how to construct one. Yet never mentioned is its meaning, its interpretation, its contribution to a fuller understanding of the underlying socio- economic situation This study explores how to extract from an Ogive features of the frequency distribution that otherwise remain unnoticed.