Equality of Correlation Coefficients

Test for Equality of Several
Correlation Coefficients

This site is a part of the JavaScript E-labs learning objects for decision making. Other JavaScript in this series are categorized under different areas of applications in the MENU section on this page.

Professor Hossein Arsham   


Enter your up-to-14 pairs of Sample Size Ni & Correlation r i, and then click the Calculate button. Blank boxes are not included in the calculations.

In entering your data to move from cell to cell in the data-matrix use the Tab key not arrow or enter keys.

H0: There is no significant difference among all Populations' Correlation ri.


Ni
r i
Chisquare
P-value
Conclusion




For Technical Details, Back to:
Statistical Thinking for Decision Making


Kindly email your comments to:
Professor Hossein Arsham


Prueba para la Igualdad de Varios Coeficientes de Correlación
Nota para los usuarios de habla hispana:
Introduzca hasta 14 pares de Sample Size Ni (Tamaños de Muestra Ni) y Correlation ri (Correlación ri) y luego oprima el botón Calculate (Calcular.) Espacios en blanco dentro de la matriz nos son incluidos en los cálculos.
Mientras entre sus datos en la matriz, muévase de celda a celda usando la tecla Tab, no use la flecha o la tecla de entrada.
H0: No existe diferencia significativa entre las correlaciones de las poblaciones ri.
Los resultados que usted obtendrá son:
Chisquare = Chi cuadrado
P –Value = Valor P
Conclusion = Conclusión:
Very strong evidence against the null hypothesis = Evidencia bastante fuerte en contra de la hipótesis nula
Moderate evidence against the null hypothesis = Evidencia moderada en contra de la hipótesis nula
Suggestive evidence against the null hypothesis = Evidencia subjetiva en contra de la hipótesis nula
Little or no real evidences against the null hypothesis = Poca o no evidencia real en contra de la hipótesis nula
Strong evidence against the null hypothesis = Evidencia fuerte en contra de la hipótesis nula

Para Detalles Técnicos y Aplicaciones, Vuelta a:
Razonamiento Estadístico para la Toma de Decisiones Gerenciales


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Professor Hossein Arsham   


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