Validation and diagnosis of the design applied to a mixture of biodegradable detergents

The objective of this research work is to validate the design and diagnose the mixture of biodegradable detergents for opinionative sampling as a subset of the population. The mixture of biodegradable detergents is composed of quinoa saponin and adjuvants (sodium carbonate, sodium silicate, sodium t...

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Detalles Bibliográficos
Autores: Núñez Venegas, Oscar Julio, Cabrera Carranza, Carlos Francisco
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:Perú
Institución:Universidad Nacional Mayor de San Marcos
Repositorio:Revistas - Universidad Nacional Mayor de San Marcos
Idioma:español
OAI Identifier:oai:revistasinvestigacion.unmsm.edu.pe:article/26493
Acceso en línea:https://revistasinvestigacion.unmsm.edu.pe/index.php/iigeo/article/view/26493
Access Level:acceso abierto
Palabra clave:Minitab 18
linear regression
angle of repose
statistical assumptions
biodegradable detergents
regresión lineal
ángulo de reposo
supuestos estadísticos
detergentes biodegradables
Descripción
Sumario:The objective of this research work is to validate the design and diagnose the mixture of biodegradable detergents for opinionative sampling as a subset of the population. The mixture of biodegradable detergents is composed of quinoa saponin and adjuvants (sodium carbonate, sodium silicate, sodium tripolyphosphate, and carboxymethylcellulose), and water, creating a 20-row matrix, between 6 pure components, 6 internal mixtures, 6 mixtures excluding one component at a time and 2 centroids, and sampling-dependent variables: Rpta-1, Rpta-2, and Rpta-3. With Minitab 18 software, the angle of repose technique was used, and the variables Rpta-1 and Rpta-3 achieved positive slopes, indicating the quinoa saponin with greater activity. In the first stage, the three simple linear regression equations with opinionated sampling were validated, and only Rpta-3 met the p-value less than 0.05. In the second stage, the entire sample was diagnosed under the assumptions of linearity, homoscedasticity, normality, and independence. Therefore, the article indicates that the linear equation can be achieved, but the diagnostics studied were not obtained; therefore, it does not represent the sample population.