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“Perfiles” (ISSN printed 1390-5740 - Electronic ISSN 2477-9105) is a scientific research journal published by the Science Faculty of “Escuela Superior Politécnica de Chimborazo” (Riobamba, Ecuador). It is being published following a biannual periodicity [(January - June) and (July- December)]. Its mission is to disseminate scientific-technological information related to predominant knowledge areas and related branches studied in the institution.

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Issue Nº 24 Vol.1 - [July - December 2020]

CONTENT

AUTHORS: Pablo Flores Muñoz, Laura Muñoz Escobar, Geoconda Velasco Castelo

Abstract
Previous studies reveal that samples with outliers alter the type I and type II error of a t-Student test for inference of a mean. The methodology that these works use to simulate extreme data consists of mixing two different normal in order to contaminate the data. We think that this technique is not the most appropriate, since, when making this process, the result is not a new normal, which is breaching the main assumption of the test. In this work, this methodology is repeated in order to verify the problems described, but atypical data are also generated from a single normal without the need for any contamination. Using this last methodology, and with a stochastic simulation process, the probability of type I and type II error is estimated, from which it is concluded that the t-Student is a robust test against the presence of outliers and its power does not depend of the number of extreme data generated in the sample.
Keywords: outliers, t-Student, mean, inference

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