Homogeneity of Multi-variances

Homogeneity of Multi-variances:
The Bartlett's Test

Versión en Español
Colección de JavaScript Estadísticos en los E.E.U.U.
Sitio Espejo para América Latina

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Professor Hossein Arsham   

Enter up-to-14 pairs of sample size & sample variance, 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 between the variances.

Sample size n(i)
Its sample variance

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

Kindly email your comments to:
Professor Hossein Arsham

Homogeneidad de Varianzas Múltiples: La Prueba de Bartlett
Nota para los usuarios de habla hispana:
Introduzca hasta 14 pares de Sample Size n (Tamaño de Muestra) y Its Sample Variance (Tamaño de la Varianza), y luego presione el botón Calculate (Calcular) para obtener los resultados. Los espacios en blanco no son asumidos como ceros ni incluidos en los cálculos, pero los números cero si se incluyen.
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 varianzas.
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


Decision Tools in Economics & Finance

Probabilistic Modeling


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Professor Hossein Arsham   

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