Simulation of sampling distributions
Generally, basic statistic courses at undergraduate level suppose that students have certain mathematical background that will facilitate use and comprehension of diverse statistical tools. When making inferences for certain parameter, the information in a sample will allow, throughout certain estim...
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Universida de Sonora
2019
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| Truy cập trực tuyến: | https://epistemus.unison.mx/index.php/epistemus/article/view/99 |
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oai:http:--epistemus.unison.mx:article-992021-07-29T02:22:13Z Simulation of sampling distributions SIMULACIÓN DE DISTRIBUCIONES MUESTRALES Noriega Ortiz, Víctor A. sampling distribution estimator simulation Shiny distribución de muestreo estimador simulación Shiny Generally, basic statistic courses at undergraduate level suppose that students have certain mathematical background that will facilitate use and comprehension of diverse statistical tools. When making inferences for certain parameter, the information in a sample will allow, throughout certain estimator, to obtain inferences on the parameter of interest. These estimators are random variables and have associated a sampling distribution to which we can be close by means of simulations tools; these play an essential role because through them, students can learn about different sampling distributions making easy to link them with some inferential aspects from the computational results. The mathematical tools needed to understand some sampling distributions in a basic statistics course and the development of an app that could be helpful in these courses, are the main reasons of developing the material here presented. Por lo general los cursos de estadística en una licenciatura presuponen que los estudiantes cuentan con conocimientos matemáticos que facilitarán la comprensión de diversas herramientas estadísticas. Al realizar inferencias acerca de un parámetro se utiliza la información de una muestra y generalmente se cuenta con un estimador de éste. Los estimadores son variables aleatorias y tienen asociadas una distribución de muestreo, a la cual nos acercamos por medio de herramientas de simulación, las cuales juegan un papel fundamental, ya que mediante ellas el estudiante comprende la distribución de muestral de varios estimadores y le es fácil conectar aspectos inferenciales a partir de los resultados computacionales obtenidos. El ahondar sobre las herramientas matemáticas necesarias para entender algunas de las distribuciones de muestreo en un curso de estadística, y el desarrollo de una aplicación que pueda facilitar esta enseñanza, son los motivos fundamentales que dieron lugar al presente material. Universida de Sonora 2019-06-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Academy Academia application/pdf https://epistemus.unison.mx/index.php/epistemus/article/view/99 10.36790/epistemus.v13i26.99 EPISTEMUS; Vol. 13 No. 26 (2019): Science does not stop; 63-70 EPISTEMUS; Vol. 13 Núm. 26 (2019): La ciencia no cesa; 63-70 2007-8196 2007-4530 spa https://epistemus.unison.mx/index.php/epistemus/article/view/99/73 https://creativecommons.org/licenses/by-nc-nd/4.0 |
| institution |
Epistemus |
| collection |
OJS |
| language |
spa |
| format |
Online |
| author |
Noriega Ortiz, Víctor A. |
| spellingShingle |
Noriega Ortiz, Víctor A. Simulation of sampling distributions |
| author_facet |
Noriega Ortiz, Víctor A. |
| author_sort |
Noriega Ortiz, Víctor A. |
| title |
Simulation of sampling distributions |
| title_short |
Simulation of sampling distributions |
| title_full |
Simulation of sampling distributions |
| title_fullStr |
Simulation of sampling distributions |
| title_full_unstemmed |
Simulation of sampling distributions |
| title_sort |
simulation of sampling distributions |
| description |
Generally, basic statistic courses at undergraduate level suppose that students have certain mathematical background that will facilitate use and comprehension of diverse statistical tools. When making inferences for certain parameter, the information in a sample will allow, throughout certain estimator, to obtain inferences on the parameter of interest. These estimators are random variables and have associated a sampling distribution to which we can be close by means of simulations tools; these play an essential role because through them, students can learn about different sampling distributions making easy to link them with some inferential aspects from the computational results. The mathematical tools needed to understand some sampling distributions in a basic statistics course and the development of an app that could be helpful in these courses, are the main reasons of developing the material here presented. |
| publisher |
Universida de Sonora |
| publishDate |
2019 |
| url |
https://epistemus.unison.mx/index.php/epistemus/article/view/99 |
| work_keys_str_mv |
AT noriegaortizvictora simulationofsamplingdistributions AT noriegaortizvictora simulaciondedistribucionesmuestrales |
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