ANOVA for Condensed Data


Equality of Several Means' Test:
ANOVA for Condensed Data Sets


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


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   


The following JavaScript tests the claim on the equality of the means of two or more independent normal populations, having almost the same variances, based on sets of random observations.

This JavaScript is based on two sets of statistical data summary from each population: the sample means, and the sample variances, in addition to the sample sizes.

H0: The populations' means are almost the same.
Ha: At least one population' mean is differ quite significantly from the others.

Enter your up-to-10 sample data summaries, then click the "calculate" button. Blank entry boxes are not included in the calculations but zeros are.

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


Sample Size(i)
Sample Mean(i)
Sample Variance(i)

Variation Between
Variation Within
F-Statistic
P-Value
Conclusion




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


Kindly email your comments to:
Professor Hossein Arsham



Prueba de Igualdad de Varias Medias:
ANOVA para Conjuntos de Datos Condensados
Nota para los usuarios de habla hispana:
El siguiente JavaScript prueba la propuesta sobre la igualdad de medias de varias poblaciones normales. Esta ANOVA se basa en un sumario de dos conjunto de datos estadísticos: la media muestral, y la varianza muestral, en adición los tamaños de las muestras.
H0: Las medias poblacionales son casi las mismas.
Ha: Al menos una media poblacional difiere significativamente de las otras.
Introduzca hasta 10 datos muestrales [Sample Size (i) = Tamaño de Muestra, Sample Mean (i) = Media Muestral (i), Sample Variance (i) = Varianza Muestral (i)] 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.
Los resultados que usted obtendrá son:
Variation Between = Variación Entre
Variation Within = Variación Dentro
F- Statistic = F Estadístico
P- Value = Valor P
Conclusion = Conclusión.

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


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Kindly e-mail me your comments, suggestions, and concerns. Thank you.

Professor Hossein Arsham   


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