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Que es la prueba de Kruskal-Wallis PDF?

García Flores

¿Qué es la prueba de Kruskal-Wallis PDF?

En estadística, la prueba de Kruskal-Wallis (de William Kruskal y W. Allen Wallis) es un método no paramétrico para probar si un grupo de datos proviene de la misma población. Sí asume, bajo la hipótesis nula, que los datos vienen de la misma distribución.

¿Cuándo se utiliza la prueba de Kruskal-Wallis?

Esta prueba no paramétrica es análoga a la prueba paramétrica ANOVA de una vía. Aquí se prueba si varias muestras independientes (más de dos muestras o lo que es lo mismo decir k muestras independientes) provienen o no de la misma población.

¿Cómo hacer una prueba de Kruskal-Wallis?

Ejemplo de la Prueba de Kruskal-Wallis

  1. Abra los datos de muestra, CamasHospital. MTW.
  2. Elija Estadísticas > No paramétricos > Kruskal-Wallis.
  3. En Respuesta, ingrese Camas.
  4. En Factor, ingrese Hospital.
  5. Haga clic en Aceptar.

What is Dunn’s test?

Dunn’s test is a non-parametric pairwise multiple comparisons procedure based on rank sums, often used as a *post hoc* procedure following rejection of a Kruskal–Wallis test. As such, it is a non-parametric analog to multiple pairwise *t* tests following rejection of an ANOVA null hypothesis.

How do you run Kruskal Wallis in Minitab?

Use Minitab to Run a Kruskal–Wallis One-Way ANOVA

  1. Click Stat → Nonparametrics → Kruskal–Wallis.
  2. A new window named “Kruskal–Wallis” pops up.
  3. Select “Overall Satisfaction” as the “Response.”
  4. Select “Customer Type” as the “Factor.”
  5. Click “OK.”
  6. The Kruskal–Wallis test results appear in the session window.

What is Holm Sidak method?

The Holm-Sidak test is a step-down «recursive reject», because it applies an accept/reject criterion on a sorted set of null hypothesis, starting from the lower p-value and going up to the acceptance of null hypothesis. For each comparison, the alpha value is set according to Sidak correction of Bonferroni inequality.

What is an example of Kruskal-Wallis test?

For example, you could use a Kruskal-Wallis H test to understand whether exam performance, measured on a continuous scale from 0-100, differed based on test anxiety levels (i.e., your dependent variable would be «exam performance» and your independent variable would be «test anxiety level», which has three independent …

How do you read Kruskal-Wallis results?

Kruskal-Wallis test results should be reported with an H statistic, degrees of freedom and the P value; thus H (3) = 8.17, P = . 013. Please note that the H and P are capitalized and italicized as required by most Referencing styles.

When can you use Bonferroni?

The Bonferroni correction is appropriate when a single false positive in a set of tests would be a problem. It is mainly useful when there are a fairly small number of multiple comparisons and you’re looking for one or two that might be significant.