Barra De Error Wikipedia
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error, or uncertainty in a reported measurement. They give a general idea of how precise a measurement is, or conversely, how
Barra De Titulo Wikipedia
far from the reported value the true (error free) value might be. barras de error excel 2010 Error bars often represent one standard deviation of uncertainty, one standard error, or a certain confidence interval (e.g., barras de error excel 2013 a 95% interval). These quantities are not the same and so the measure selected should be stated explicitly in the graph or supporting text. Error bars can be used
How To Use Error Bars
to compare visually two quantities if various other conditions hold. This can determine whether differences are statistically significant. Error bars can also suggest goodness of fit of a given function, i.e., how well the function describes the data. Scientific papers in the experimental sciences are expected to include error bars on all graphs, though the practice differs somewhat between sciences,
How To Calculate Error Bars
and each journal will have its own house style. It has also been shown that error bars can be used as a direct manipulation interface for controlling probabilistic algorithms for approximate computation.[1] Error bars can also be expressed in a plus-minus sign (±), plus the upper limit of the error and minus the lower limit of the error.[2] See also[edit] Box plot Confidence interval Graphs Model selection Significant figures References[edit] ^ Sarkar, A; Blackwell, A; Jamnik, M; Spott, M (2015). "Interaction with uncertainty in visualisations" (PDF). 17th Eurographics/IEEE VGTC Conference on Visualization, 2015. doi:10.2312/eurovisshort.20151138. ^ Brown, George W. (1982), "Standard Deviation, Standard Error: Which 'Standard' Should We Use?", American Journal of Diseases of Children, 136 (10): 937–941, doi:10.1001/archpedi.1982.03970460067015. This statistics-related article is a stub. You can help Wikipedia by expanding it. v t e Retrieved from "https://en.wikipedia.org/w/index.php?title=Error_bar&oldid=724045548" Categories: Statistical charts and diagramsStatistics stubsHidden categories: All stub articles Navigation menu Personal tools Not logged inTalkContributionsCreate accountLog in Namespaces Article Talk Variants Views Read Edit View history More Search Navigation Main pageContentsFeatured contentCurrent eventsRandom articleDonate to WikipediaWikipedia store Interaction H
Wikipedia:Informes de error. Añade un grupo de botones a la barra de herramientas del editor, que se activa cuando se está error bars in excel trabajando en esa página específicamente, y permiten agilizar las respuestas.
How To Interpret Error Bars
Los botones adicionales aparecen dentro de la sección "Avanzado" de la barra de herramientas, identificados overlapping error bars por la etiqueta "IDE". Índice 1 Instalación 2 Uso 2.1 Primer grupo: No 2.2 Segundo grupo: Sí 2.3 Tercer grupo: Varios 3 Pendiente 4 https://en.wikipedia.org/wiki/Error_bar Otros scripts Instalación[editar] Añadir esta línea a tu Especial:MiPágina/common.js: importScript('Usuario:Ggenellina/addIDEButtons.js'); Además, si todavía no la estás usando, hay que habilitar la "barra de edición mejorada". En tus Preferencias, ir a la pestaña Edición y marcar la casilla "Habilitar la barra de herramientas de edición mejorada". Uso[editar] Para usarlos, hay https://es.wikipedia.org/wiki/Usuario:Ggenellina/Botonera_para_Informes_de_Error que editar la sección de Informes de Error que se desea responder, y poner el cursor al final del texto. Al presionar cualquiera de los botones, se añade una nueva línea con un texto predefinido y, en algunos casos, deja el cursor en la posición correcta para completar la respuesta. Por ejemplo, al presionar el botón aparece esta línea: :{{corregido}} ~~~~ y sólo hace falta grabar la página. Primer grupo: No[editar] :{{no hay error}} ~~~~ :{{no hay error|falta}} ~~~~ :{{no hay error|crea}} ~~~~ :{{no hay error|categoría}} ~~~~ :{{No}} ~~~~ Segundo grupo: Sí[editar] :{{corregido}} ~~~~ :{{Hecho}} ~~~~ :{{corregido|vandalismo}} ~~~~ ::{{Sí}} ~~~~ Tercer grupo: Varios[editar] :{{pregunta}} ~~~~ :{{comentario}} ~~~~ :{{trasladar tema}} ~~~~ Pendiente[editar] Poner un resumen de edición adecuado en cada caso Que no sea necesario posicionar el cursor al final antes de presionar el botón Otros scripts[editar] Detector de redirecciones con errores Autocompletar idioma Obtenido de «https://es.w
it indicates how closely a portfolio follows the index to which it is benchmarked. The best measure is the standard deviation of the difference between https://en.wikipedia.org/wiki/Tracking_error the portfolio and index returns. Many portfolios are managed to a benchmark, typically https://en.wikipedia.org/wiki/Barcode an index. Some portfolios are expected to replicate, before trading and other costs, the returns of an index exactly (e.g., an index fund), while others are expected to 'actively manage' the portfolio by deviating slightly from the index in order to generate active returns. Tracking error is a measure of the error bars deviation from the benchmark; the aforementioned index fund would have a tracking error close to zero, while an actively managed portfolio would normally have a higher tracking error. Thus the tracking error does not include any risk (return) that is merely a function of the market's movement. In addition to risk (return) from specific stock selection or industry and factor "bets," it can also barras de error include risk (return) from market timing decisions. Dividing portfolio active return by portfolio tracking error gives the information ratio, which is a risk adjusted performance measure. Contents 1 Definition 1.1 Formulas 1.2 Interpretation 2 Examples 3 References 4 External links Definition[edit] If tracking error is measured historically, it is called 'realized' or 'ex post' tracking error. If a model is used to predict tracking error, it is called 'ex ante' tracking error. Ex-post tracking error is more useful for reporting performance, whereas ex-ante tracking error is generally used by portfolio managers to control risk. Various types of ex-ante tracking error models exist, from simple equity models which use beta as a primary determinant to more complicated multi-factor fixed income models. In a factor model of a portfolio, the non-systematic risk (i.e., the standard deviation of the residuals) is called "tracking error" in the investment field. The latter way to compute the tracking error complements the formulas below but results can vary (sometimes by a factor of 2). Formulas[edit] The ex-post tracking error formula is the standard deviation of the active returns, given by: T E = ω = Var
about the object that carries the barcode. Originally barcodes systematically represented data by varying the widths and spacings of parallel lines, and may be referred to as linear or one-dimensional (1D). Later two-dimensional (2D) codes were developed, using rectangles, dots, hexagons and other geometric patterns in two dimensions, usually called barcodes although they do not use bars as such. Barcodes originally were scanned by special optical scanners called barcode readers. Later applications software became available for devices that could read images, such as smartphones with cameras. An early use of one type of barcode in an industrial context was sponsored by the Association of American Railroads in the late 1960s. Developed by General Telephone and Electronics (GTE) and called KarTrak ACI (Automatic Car Identification), this scheme involved placing colored stripes in various combinations on steel plates which were affixed to the sides of railroad rolling stock. Two plates were used per car, one on each side, with the arrangement of the colored stripes encoding information such as ownership, type of equipment, and identification number.[1] The plates were read by a trackside scanner, located for instance, at the entrance to a classification yard, while the car was moving past.[2] The project was abandoned after about ten years because the system proved unreliable after long-term use.[1] Barcodes became commercially successful when they were used to automate supermarket checkout systems, a task for which they have become almost universal. Their use has spread to many other tasks that are generically referred to as automatic identification and data capture (AIDC). The very first scanning of the now ubiquitous Universal Product Code (UPC) barcode was on a pack of Wrigley Company chewing gum in June 1974.[3] Other systems have made inroads in the AIDC market, but the simplicity, universality and low cost of barcodes has limited the role of these other systems until technologies such as radio fre