Small Sample Size for Test of Training Time by Augmented Reality: An Aeronautical Case

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dc.creatorNicolás Jorge Hendrichs Troeglen
dc.date2015
dc.date.accessioned2018-10-19T13:37:41Z
dc.date.available2018-10-19T13:37:41Z
dc.descriptionAugmented Reality works for learning (growing tendency) in aeronautical sector demand an evaluation that requires experimental sampling, and this is often an expensive process. Usually, sample size is determined by resources availability constraint, which does not guarantee the level of significance (α) and the margin of error (E) required. This paper introduces a congruent sequence of statistical procedures to determine the estimated work sample size for traineeship in assembly operations. Sample size estimations for an aeronautical case are presented considering various scenarios. A minimum necessary sample size is calculated with statistical rigor via formulation and Operating Characteristic Curves. © 2015 The Authors.
dc.identifier.doi10.1016/j.procs.2015.12.190
dc.identifier.endpage27
dc.identifier.issn18770509
dc.identifier.startpage17
dc.identifier.urihttp://hdl.handle.net/11285/630641
dc.identifier.volume75
dc.languageeng
dc.publisherElsevier
dc.relationhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84964090260&doi=10.1016%2fj.procs.2015.12.190&partnerID=40&md5=29eb4956db97ec54242f857f90b6ebd4
dc.relationInvestigadores
dc.relationEstudiantes
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.sourceProcedia Computer Science
dc.subjectComputer science
dc.subjectComputers
dc.subjectEstimation
dc.subjectAssembly operations
dc.subjectAssembly time
dc.subjectAvailability constraints
dc.subjectOperating characteristic curve
dc.subjectSample size estimation
dc.subjectSmall Sample Size
dc.subjectSmall samples
dc.subjectTraining time
dc.subjectAugmented reality
dc.subject.classification7 INGENIERÍA Y TECNOLOGÍA
dc.titleSmall Sample Size for Test of Training Time by Augmented Reality: An Aeronautical Case
dc.typeConferencia
refterms.dateFOA2018-10-19T13:37:41Z

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