Statistical Measures of Location: Mathematical Formula Versus Geometric Approach
Adefemi Tajudeen* Adeniran,
Johnson Funminiyi Ojo,
Olanrewaju Faweya and
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Adefemi Tajudeen* Adeniran: Department of Statistics, Faculty of Science, University of Ibadan, Ibadan, Oyo State, Nigeria
Johnson Funminiyi Ojo: Department of Statistics, Faculty of Science, University of Ibadan, Ibadan, Oyo State, Nigeria
Olanrewaju Faweya: Department of Statistics, Faculty of Science, Ekiti State University, Ado-Ekiti, Ekiti State, Nigeria
Kayode Balogun: Department of Statistics, Federal Scool of Statistics Ibadan, Oyo State, Nigeria
Academic Journal of Applied Mathematical Sciences, 2020, vol. 6, issue 7, 145-152
Graphical method and mathematical formula are the two approaches for estimating measures of location. Understanding of many instructors of introductory statistics classes are: mean cannot be graphically determined and numerical (formula) approach is more precise than geometrical technique. Contrary to their understanding, this study estimate mean of a dataset geometrically (from histogram) by determining the centroid of histogram drawn from such data set. In addition, we also make known that mathematical formulas for mean, median and mode were derived geometrically (either from ogive or histogram). Finally, the research illustrated the two techniques with a survey data and established that the two approaches produce same results.
Keywords: Measures of location; Geometrical; Histogram; Centroid; Ogive (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:arp:ajoams:2020:p:145-152
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