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20
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.Cómo citar este artículo:
Heredia, A., Bastidas, J., Curiel, E. & Cárdenas, G. (2022). Prueba de independencia de los factores sociales en las MiPymes de la provincia del Carchi. Visión Empresarial (12), 7-21.
https://doi.org/10.32645/13906852.1186
Para dar respuesta a las hipótesis planteadas, se aplicó la prueba del chi-cuadrado de
Pearson, la misma que parte de la suposición de que las variables gobernanza y participación
son independientes; es decir, que no existe asociación entre las dos. El propósito de la prueba es
vericar la hipótesis a través del nivel de signicancia, por lo tanto, si el valor de signicancia es
igual o mayor que el alfa (α = 0.05), se acepta la hipótesis nula y en el caso de que sea menor, se
rechaza la hipótesis nula y se acepta la hipótesis alternativa.
Una vez aplicada la prueba del chi-cuadrado de Pearson, con los datos procesados e
ilustrados en la tabla 10, se puede deducir que se rechaza la hipótesis nula ya que p = 0.000
menor que α = 0.05. Por lo tanto, se puede concluir que las variables gobernanza y participación
son dependientes (existe asociación), con un nivel de conanza del 95%.
Discusión
La aplicación de la estadística es primordial en la investigación cientíca, facilitando el soporte
de diferentes programas informáticos, tal es el caso del SPSS-22, que ha permitido probar la
independencia entre dos variables en el impacto de los factores sociales a causa de la COVID 19, en
las MiPymes de la provincia del Carchi, aplicando la prueba de independencia de chi-cuadrado de
Pearson. El análisis permitió dar respuesta a las hipótesis planteadas, partiendo de la suposición
de que las variables en estudio son independientes; es decir, que no existe asociación entre ellas.
La nalidad de la prueba es vericar la hipótesis a través del nivel de signicancia, por lo tanto, si
el valor de signicancia es igual o mayor que el alfa (α = 0.05), se acepta la hipótesis nula y en el
caso de que sea menor, se rechaza la hipótesis nula y se acepta la hipótesis alternativa. Además,
tomando como referencia lo señalado por los autores López y Fachelli (2015) quienes armaron
lo siguiente: “Como en toda prueba estadística de contraste de hipótesis podemos distinguir 4
pasos en su realización: 1. Formulación de las hipótesis nula y alternativa, en este caso: H0: Las
variables son independientes. HA: Las variables no son independientes, existe asociación; 2. Se
calcula el valor del estadístico, aquí el chi-cuadrado (X²); 3. Se determina la probabilidad asociada
al estadístico; 4. Se toma la decisión aceptando o rechazando la hipótesis nula.” (p. 16), se llegó a
la conclusión que con las variables educación y salud, se rechaza la hipótesis nula ya que las dos
variables analizadas son dependientes; con las variables calidad de vida y representación política,
de igual manera se rechaza la hipótesis nula ya que las dos variables analizadas son dependientes;
y por último con las variables gobernanza y participación, también se rechaza la hipótesis nula ya
que las dos variables analizadas son dependientes.
Conclusiones
Para dar respuesta a las hipótesis planteadas, se partió de la suposición de que las variables
en estudio son independientes; es decir, que no existe asociación entre ellas. El propósito de
la prueba fue vericar la hipótesis a través del nivel de signicancia, por lo tanto, si el valor de
signicancia es igual o mayor que el alfa (α = 0.05), se acepta la hipótesis nula y en el caso de que
sea menor, se rechaza la hipótesis nula y se acepta la hipótesis alternativa.
La prueba chi-cuadrado de Pearson interpretada con los datos de las variables educación y
salud, permitió deducir que se rechaza la hipótesis nula ya que p = 0.000 menor que α = 0.05. Por lo
tanto, se puede concluir que las variables educación y salud son dependientes (existe asociación),
con un nivel de conanza del 95%.
La prueba chi-cuadrado de Pearson interpretada con los datos de las variables calidad
de vida y representación política, permitió deducir que se rechaza la hipótesis nula ya que p =
0.000 menor que α = 0.05. Por lo tanto, se puede concluir que las variables calidad de vida y