Main Comparative table of Parametric and Non-Parametric Analysis

A parameter that specifies the data to be taken to analyze or evaluate a situation. It is used to make decisions, and one of the most relevant statistical methods in research is the use of parametric and non-parametric tests. The first is based on assumptions about the basic distribution of the popu...

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Detalles Bibliográficos
Autores: Mayorga Ponce , Rocío Belem, Graciano Ventura, Diana Concepción, Martínez Hernández , Anahí, Moctezuma Jiménez, Paola Masiel, Pérez Galindo , Berenice, Roldan Carpio , Adamary
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:México
Institución:UNIVERSIDAD AUTÓNOMA DEL ESTADO DE HIDALGO
Repositorio:Educación y salud Boletín Científico Instituto de Ciencias de la Salud Universidad Autónoma del Estado de Hidalgo
Idioma:español
OAI Identifier:oai:repository.uaeh.edu.mx:article/9143
Acceso en línea:https://repository.uaeh.edu.mx/revistas/index.php/ICSA/article/view/9143
Access Level:acceso abierto
Palabra clave:Distribution
sample
statistical methods
parametric tests
non-parametric tests
Distribución
muestra
métodos estadísticos
pruebas paramétricas
pruebas no paramétricas
Descripción
Sumario:A parameter that specifies the data to be taken to analyze or evaluate a situation. It is used to make decisions, and one of the most relevant statistical methods in research is the use of parametric and non-parametric tests. The first is based on assumptions about the basic distribution of the population from which the sample is drawn, and the second on assumptions about the shape or criteria of the basic distribution of the population. They can get an overview of the population to compare and make complete predictions.