Statistics: data. uncertainty. probability. information. decision-making

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dc.contributor.authorOkafor, R.O.
dc.date.accessioned2020-01-20T12:04:53Z
dc.date.available2020-01-20T12:04:53Z
dc.date.issued2018-08-08
dc.descriptionInaugural lecture delivered at the University of Lagosen_US
dc.description.abstractI Will begin ~ub~tentatively with the old fashioned definition of statistics, which IS: Statistic~ is a branch of applied mathematics that deals v:'lth the collection, presentation, summarisation, analysis and tnterpretetlon of numerical data. Alth.o~g.h, the d~fi.nition has given adequate clarity as to what statistrclans d.~, It IS.no.tonly old fashioned but out of fashion asell. In addition, It IS deeply restrictive in two important aspe?ts, nam~ly, (a) the word probability is not explicitly :nen,tlon~d as It should; and (b) contemporarily, data can come In ~ .~arrety of forms, and not just in numerical form as the definition seems to suggest.en_US
dc.identifier.citationOkafor, R.O. (2018). Statistics: data. uncertainty. probability. information. decision-making. An inaugural lecture delivered at the University of Lagos, Akoka.en_US
dc.identifier.issn1119-4456
dc.identifier.urihttps://ir.unilag.edu.ng/handle/123456789/7465
dc.language.isoenen_US
dc.publisherUniversity of Lagos Press and Bookshop, Akokaen_US
dc.relation.ispartofseriesInagural Lecture Series;2018
dc.subjectStatisticsen_US
dc.subjectCensusesen_US
dc.subjectDataen_US
dc.subjectAncient civilisationsen_US
dc.subjectResearch Subject Categories::SOCIAL SCIENCES::Statistics, computer and systems science::Statisticsen_US
dc.titleStatistics: data. uncertainty. probability. information. decision-makingen_US
dc.typePresentationen_US
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