dc.contributor.advisor | Swafford, Scott | eng |
dc.contributor.author | Hartman, Travis | eng |
dc.date.issued | 2015 | eng |
dc.date.submitted | 2015 Spring | eng |
dc.description | Professional 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.abstract | Data 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.extent | 12 files | eng |
dc.identifier.merlin | b113186058 | eng |
dc.identifier.uri | https://hdl.handle.net/10355/45455 | |
dc.language | English | eng |
dc.publisher | University of Missouri--Columbia | eng |
dc.relation.ispartofcommunity | University of Missouri--Columbia. School of Journalism. Journalism masters projects | eng |
dc.rights | OpenAccess. | eng |
dc.rights.license | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License. | |
dc.subject | Author-supplied keywords: statistics, investigative reporting, data, regression, journalism, outliers | eng |
dc.subject.FAST | Journalism -- Data processing | eng |
dc.subject.FAST | Journalism -- Statistical methods | eng |
dc.subject.lcsh | Journalism -- Study and teaching (Internship) | eng |
dc.title | Newsroom statistics in the digital age | eng |
dc.type | Project | eng |
thesis.degree.discipline | Journalism | eng |
thesis.degree.level | Masters | eng |
thesis.degree.name | M.A. | eng |