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...

ver descrição completa

Detalhes 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 documento: artigo
Estado:Versão publicada
Data de publicação:2022
País:México
Recursos:UNIVERSIDAD AUTÓNOMA DEL ESTADO DE HIDALGO
Repositório:Educación y salud Boletín Científico Instituto de Ciencias de la Salud Universidad Autónoma del Estado de Hidalgo
Idioma:espanhol
OAI Identifier:oai:repository.uaeh.edu.mx:article/9143
Acesso em linha:https://repository.uaeh.edu.mx/revistas/index.php/ICSA/article/view/9143
Access Level:Acceso aberto
Palavra-chave:Distribution
sample
statistical methods
parametric tests
non-parametric tests
Distribución
muestra
métodos estadísticos
pruebas paramétricas
pruebas no paramétricas
Descrição
Resumo: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.