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dc.contributor.advisorSwafford, Scotteng
dc.contributor.authorHartman, Traviseng
dc.date.issued2015eng
dc.date.submitted2015 Springeng
dc.descriptionProfessional project report submitted in partial fulfillment of the requirements for the degree of Masters of Arts in Journalism from the School of Journalism, University of Missouri--Columbia.eng
dc.description.abstractData has become a ubiquitous part of the journalistic landscape. Journalists using data in their work need a set of tools to describe data, and statistics are those tools. Statistical methods provide journalists with an expanded vocabulary to discuss and understand data -- both the finding and the telling of stories. These methods lend journalists an empirical way to measure data and look for trends or correlations that might otherwise be impossible to observe.eng
dc.format.extent12 fileseng
dc.identifier.merlinb113186058eng
dc.identifier.urihttps://hdl.handle.net/10355/45455
dc.languageEnglisheng
dc.publisherUniversity of Missouri--Columbiaeng
dc.relation.ispartofcommunityUniversity of Missouri--Columbia. School of Journalism. Journalism masters projectseng
dc.rightsOpenAccess.eng
dc.rights.licenseThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License.
dc.subjectAuthor-supplied keywords: statistics, investigative reporting, data, regression, journalism, outlierseng
dc.subject.FASTJournalism -- Data processingeng
dc.subject.FASTJournalism -- Statistical methodseng
dc.subject.lcshJournalism -- Study and teaching (Internship)eng
dc.titleNewsroom statistics in the digital ageeng
dc.typeProjecteng
thesis.degree.disciplineJournalismeng
thesis.degree.levelMasterseng
thesis.degree.nameM.A.eng


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