We propose a modification of a Modarres-Gastwirth test for the hypothesis of symmetry about a known center. By means of a Monte Carlo Study we show that the modified test overtakes the original ModarresGastwirth test for a wide spectrum of asymmetrical alternatives coming from the lambda family and for all assayed sample sizes. We also show that our test is the best runs test among the runs tests we have compared.
En este artículo se presenta una breve reseña del desarrollo de la teoría de pruebas de hipótesis y se aclaran las principales diferencias entre pruebas paramétricas y no paramétricas. Para ilustrar el uso deunas y otras, se realiza un estudio de simulación, en el que se muestran los errores en que incurren los investigadores al tomar decisiones cuando pasan por alto los supuestos exigidos por un conocido método estadístico.
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