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Abstract

A Monte Carlo simulation study was conducted to examine outliers’ influence on Type I error rates in ANOVA and Welch tests, and the effectiveness of two outlier accommodation methods: nonparametric rank based method and Winsorizing. The study also offered practical recommendations regarding outlier handling with different sample sizes and number of outliers.

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