Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/8586
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dc.contributor.authorJonah, S.S-
dc.contributor.authorBabakutigi, A N-
dc.contributor.authorIsah, K.U-
dc.contributor.authorUno, U.E.-
dc.contributor.authorAhmadu, U-
dc.contributor.authorUmar, M.O-
dc.contributor.authorGana, C.S-
dc.contributor.authorKolo, M.T-
dc.contributor.authorRafiu, A.A.-
dc.contributor.authorUnuovho, C.I.-
dc.contributor.authorOnoduku, U.S.-
dc.contributor.authorAbba, F.M.-
dc.contributor.authorSalako, K.A-
dc.contributor.authorDangana., M.I-
dc.contributor.authorAdetona, A.A-
dc.contributor.authorIbrahim, S.O-
dc.contributor.authorOfor, N.P-
dc.contributor.authorAlhassan, D.U-
dc.contributor.authorEzenwora, J.A-
dc.contributor.authorIbrahim, A.G-
dc.contributor.authorEze, C.N-
dc.contributor.authorOlarinoye, I.O.-
dc.contributor.authorAgida, M.-
dc.contributor.authorIgwe, K.C.-
dc.contributor.authorMuktar, M.-
dc.contributor.authorKimpa, M.I-
dc.date.accessioned2021-07-11T19:58:04Z-
dc.date.available2021-07-11T19:58:04Z-
dc.date.issued2009-05-
dc.identifier.citationJonah, S. S., Babakutigi, A N., Isah, K.U., Uno, U.E., Ahmadu, U.,Umar, M.O., Gana, C. S., Kolo, M.T., Rafiu,A.A., Unuovho, C.I.,Onoduku,U.S.,Abba, F.M., Salako,K.A.,Dangana, M.I., Adetona, A.A., Ibrahim,S.O., Ofor,N.P., Alhassan, D.U., Ezenwora,J.A.,Ibrahim,A.G.,Eze,C.N.,Olarinoye,I.O.,Agida,M.,Igwe,K.C.,Muktar,M.& Kimpa,M.I. (2009). The use of Predictive Statistical Technique in Geo-Electrical Investigation. A Journal of Science, Technology and Mathematics Education, 6(1) , 124-135.en_US
dc.identifier.issn0748-4710-
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/8586-
dc.description.abstractThe method of simple regression analysis was employed to test the coloration at the various depth of investigation between AB/2 resistivity of the geo-electrical data collected from six VES points (i.e. A1 – A6). The VES dataset has been interpreted in the usual manner to obtain information about number of layers, their thickness, and depth of basement along the profile on which soundings were carried out. Having applied the method of regression analysis to for (i) maximum AB/2 = 100m, (ii) maximum AB/2 = 40m, it was found that the values of standard error of estimates are within tolerable limits for VES points A1, A2 A3 and A4 (i.e. about 67% correlation). Thus it was recommended that between VES Point A1 and A6, intermediate VES points (says 50m spacing) could be sounded with savings in time and cost. Now, instead of fourteen sounding sequences that are concerned with depth basement, just the first six sequences could be sounded and the remaining dataset can be extrapolated to AB/2=40men_US
dc.description.sponsorshipSelfen_US
dc.language.isoenen_US
dc.publisherJournal of Science, Technology and Mathematics Educationen_US
dc.relation.ispartofseries6(1);-
dc.subjectbasementen_US
dc.subjectregressionen_US
dc.subjecterroren_US
dc.subjectsoundingsen_US
dc.subjectcorrelationen_US
dc.titleThe use of Predictive Statistical Technique in Geo-Electrical Investigation.en_US
dc.typeArticleen_US
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