Normality is the most frequently required assumption for statistical techniques. Thus, evaluation
of the normality assumption is the first step of many statistical analyses. Although there are
many normality tests in the literature, none dominate for all conditions. This paper introduces a novel
normality test, and its performance is compared with some of the other normality tests via a Monte
Carlo simulation study. Tests are evaluated according to the Type I error and Power.
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