A statistical model for product testing in the context of the Law of Consistency, scoop and persistence in the Theory of Consumer Choice

• Autor: Huamanchumo de la Cuba, Luis
• Formato: artículo
• Fecha de Publicación: 2001
• Institución: Universidad Nacional de Ingeniería
• Repositorio: Revistas - Universidad Nacional de Ingeniería
• Lenguaje: español
• OAI Identifier: oai:oai:revistas.uni.edu.pe:article/521
• Enlace del recurso: https://revistas.uni.edu.pe/index.php/tecnia/article/view/521
• Nivel de acceso: acceso abierto
• Materia: Prueba de Producto; Leyes de la Elección; Participación de Preferencias; Nivel de Significación; Datos de Elección Forzada; Bootstrapping; Product Testing; Laws of Choice; Participation of Preferences; Significance Level; Forced Choice Data

A statistical model for product testing in the context of the Law of Consistency, scoop and persistence in the Theory of Consumer Choice. The objective of Product Testing studies is to identify the product preferred by consumers. Traditional tests of equality of proportions based on the level of significance are not completely consistent with this objective. Thus, this article proposes a statistical model, which based on the laws of the Theory of Consumer Choice will allow determining the probability of choosing the product preferred by the market based on the application of Non-Parametric Bootstrapping. It would be interesting to develop a similar study with other data collection designs used in Product Testing.