Por favor, use este identificador para citar o enlazar este ítem: https://hdl.handle.net/20.500.12008/38120
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dc.contributor.author Autor Monteiro, Martín-
dc.contributor.author Autor Stari, Cecilia-
dc.contributor.author Autor Cabeza, Cecilia-
dc.contributor.author Autor Martí, Arturo-
dc.contributor.filiacion Filiación Monteiro Martín, Universidad ORT (Uruguay)-
dc.contributor.filiacion Filiación Stari Cecilia, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Física.-
dc.contributor.filiacion Filiación Cabeza Cecilia, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Física.-
dc.contributor.filiacion Filiación Martí Arturo, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Física.-
dc.date.accessioned Fecha ingreso 2023-07-13T13:11:35Z-
dc.date.available Fecha disponible 2023-07-13T13:11:35Z-
dc.date.issued Año de publicación 2020-
dc.description Descripción Publicado también como: American Journal of Physics, 2021, 89(5): 477–481. DOI: 10.1119/10.0002906es
dc.description.abstract Resumen Science students must deal with the errors inherent to all physical measurements and be conscious of the need to expressvthem as a best estimate and a range of uncertainty. Errors are routinely classified as statistical or systematic. Although statistical errors are usually dealt with in the first years of science studies, the typical approaches are based on manually performing repetitive observations. Our work proposes a set of laboratory experiments to teach error and uncertainties based on data recorded with the sensors available in many mobile devices. The main aspects addressed are the physical meaning of the mean value and standard deviation, and the interpretation of histograms and distributions. The normality of the fluctuations is analyzed qualitatively comparing histograms with normal curves and quantitatively comparing the number of observations in intervals to the number expected according to a normal distribution and also performing a Chi-squared test. We show that the distribution usually follows a normal distribution, however, when the sensor is placed on top of a loudspeaker playing a pure tone significant differences with a normal distribution are observed. As applications to every day situations we discuss the intensity of the fluctuations in different situations, such as placing the device on a table or holding it with the hands in different ways. Other activities are focused on the smoothness of a road quantified in terms of the fluctuations registered by the accelerometer. The present proposal contributes to gaining a deep insight into modern technologies and statistical errors and, finally, motivating and encouraging engineering and science students.es
dc.description.sponsorship Financiadores PEDECIBA: Fisica Nolineal (ID 722)es
dc.format.extent Extensión 15 hes
dc.format.mimetype Formato application/pdfes
dc.identifier.citation Citación Monteiro, M, Stari, C, Cabeza, C [y otro autor]. "Using mobile-device sensors to teach students error analysis". [Preprint]. Publicado en: Physics (Physics Education). 2020, arXiv:2009.07049, sep 2020, pp 1-15.es
dc.identifier.uri URI https://hdl.handle.net/20.500.12008/38120-
dc.language.iso Idioma enes
dc.publisher Editorial arXives
dc.relation.ispartof EN Physics (Physics Education), arXiv:2009.07049, sep 2020, pp 1-15es
dc.rights Derechos Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)es
dc.rights.licence Licencia Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)es
dc.subject Palabras clave Ferromagnetic materialses
dc.subject Palabras clave Magnetic equipmentes
dc.subject Palabras clave Acoustic transducerses
dc.subject Palabras clave Measuring instrumentses
dc.subject Palabras clave Laboratory procedureses
dc.subject Palabras clave Sensorses
dc.subject Palabras clave Engineering sciencees
dc.subject Palabras clave Studentses
dc.subject Palabras clave Teachinges
dc.subject Palabras clave Gaussian processeses
dc.title Título Using mobile-device sensors to teach students error analysises
dc.type Tipo de documento Preprintes
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2009.07049.pdf — 2.64 MB Adobe PDF